Adaptive Communication Strategy Research Articles

Design and development of an ai-driven communication model for stimulating memory recall in patients with Alzheimer’s and other neurodegenerative diseases

This study presents the development and evaluation of an AI-driven communication tool designed to stimulate memory recall in patients with Alzheimer’s disease and other neurodegenerative disorders. The tool integrates machine learning algorithms, including Random Forest and Long Short-Term Memory (LSTM) networks, with mass communication theories to deliver personalized and adaptive communication strategies. The AI models were trained and tested on patient interaction data, enabling the tool to dynamically adjust its prompts based on real-time cognitive states. Performance metrics such as accuracy, precision, and AUC-ROC were used to assess model efficacy, with the Random Forest model achieving the highest performance across all metrics. Clinical trials demonstrated significant improvements in memory recall and emotional engagement in patients using the AI tool compared to standard cognitive stimulation therapy. Caregivers also reported higher satisfaction with the tool's usability and impact on patient interaction quality. These findings highlight the potential of AI-driven, personalized communication tools to revolutionize Alzheimer's care, offering scalable, adaptive interventions that improve cognitive and emotional health. Academically, this work advances the integration of AI and health communication, emphasizing culturally sensitive and patient-centered approaches. In healthcare, it presents a promising non-pharmacological intervention that can be easily scaled for widespread use, potentially reducing caregiver burden and improving patient outcomes.

Policy Information Communication in Shanghai’s 15-Minute Community Living Circle--Taking Jing’an District as an Example

This paper examines the communication strategies of the “15-minute community life circles” policy in Shanghai Jing’an District. The study highlights the critical role of effective information dissemination in fostering public understanding and engagement with the policy. Analyzing current communication channels, including online platforms such as WeChat and Weibo, the paper identifies key challenges such as inadequate coverage, low public awareness, and insufficient interaction between policy content and residents’ daily lives. The paper also critiques the reliance on traditional media, which may not effectively reach younger demographics. Recommendations are provided to enhance the policy’s communication, including diversifying media channels, tailoring content to specific audience segments, and integrating more interactive and relatable narratives. By improving these aspects, the policy can better achieve its goal of creating sustainable, well-connected communities that meet the needs of all residents. This study underscores the importance of adaptive and responsive communication strategies in the successful implementation of public policies.

Effect on comprehension of an AI patient-friendly hospital discharge letter: a quasi-RCT

Abstract Background During transition from hospital to home care, discharge letters serve as a bridge of information between hospital physicians, general practitioners, and patients. However, the complexity of these letters often hinders patient comprehension, leading to medication errors and adverse outcomes. We assessed the effect on patients’ comprehension and satisfaction of using AI to transform discharge letters into patient-friendly versions. Methods An online quasi-randomized controlled parallel-group trial was conducted in Italy. A synthetic discharge letter for a chronic obstructive pulmonary disease patient was drafted. GPT-4 rephrased the letter into an easier-to-understand version. Participants were assigned to receive either the original or AI-generated letter and completed comprehension assessments and satisfaction survey. Results Out of 460, 166 participants received the original letter, and 175 the AI version. The AI group showed significantly higher comprehension scores (median 4;IQR 2-4 vs. 2; IQR1-2, p < 0.001) and outperformed the control group in understanding diagnosis, medications, and antibiotic instructions. Perceived satisfaction was higher in the AI group across all measures (p < 0.001). Health literacy was a good predictor of comprehension in both arms (p = 0.013; p = 0.015). Subgroup analysis revealed the AI letter nearly bridged the comprehension gap between non-healthcare individuals and healthcare professionals receiving the original letter. Conclusions AI-optimized discharge letters improved patient understanding, and satisfaction compared to traditional letters. The study underscores the influence of sociodemographic factors like healthcare experience and health literacy on comprehension, advocating for adaptive communication strategies. These findings contribute to discussions about integrating AI in healthcare to develop patient-centered communication approaches. Key messages • AI-generated patient-friendly discharge letters significantly improved comprehension and satisfaction compared to traditional letters. • Integrating AI in healthcare communication can help bridge comprehension gaps and promote patient-centered care.

Bridging the Generation Gap: Communication Strategies at Golkar Sidoarjo DPD

Background: Effective communication in organizations is crucial for fostering collaboration, especially in diverse generational settings. Specific Background: This study investigates the communication dynamics at DPD Golkar Sidoarjo, using a qualitative approach to explore interactions among staff from different generations. Knowledge Gap: While previous research has addressed generational gaps in workplace performance, there is limited understanding of how communication strategies can effectively bridge these divides. Aims: The study aims to analyze vertical and horizontal communication, alongside openness and feedback, in addressing generational differences. Results: Findings reveal that adaptive communication strategies successfully manage these differences, enhancing inclusivity and productivity. Novelty: This research provides insights into tailored communication approaches that respect generational preferences. Implications: The study highlights the need for strategic communication frameworks in human resource management to facilitate effective interactions among diverse generational cohorts, improving organizational performance. Highlights : Adaptive Strategies: Effective communication tailored to generational preferences enhances collaboration. Team Dynamics: Horizontal communication fosters teamwork and idea-sharing among staff. Productivity Impact: Addressing generational gaps through communication improves overall organizational performance. Keywords: organizational communication, generational differences, qualitative study, DPD Golkar Sidoarjo, inclusivity

Political and Intercultural Communication in Determining Presidential Candidates in the Indonesian Elections 2024

This study explores the dynamics of political communication in Indonesia, focusing on the 2024 presidential elections. As the country prepares for the presidential election in February 2024, since the general election is a form of post-reformation democratic process implementation that began in 1998, the process of forming political coalitions has become a significant aspect of the political landscape. Utilizing a phenomenological approach, the research examines the interplay between three distinct political cultures—parochial, subject, and participant—and their influence on voter engagement and candidate selection. Through in-depth interviews and participatory observation, the study reveals how political parties can tailor their communication strategies to resonate with diverse voter segments, thereby enhancing electoral participation and fostering a more inclusive democratic process. The findings highlight significant implications for political actors and scholars alike. By recognizing the unique characteristics and needs of each political culture, parties can develop effective coalition-building strategies that bridge cultural divides and mobilize support across Indonesia's heterogeneous electorate. This research not only fills existing gaps in the literature regarding the role of intercultural communication in Indonesian politics but also provides practical recommendations for political parties aiming to improve their engagement with voters. Ultimately, the study underscores the critical importance of adaptive communication strategies in promoting a more informed, engaged, and representative democratic system in Indonesia. Keywords: Elections, intercultural communication, political communication, political parties, presidential candidate.

Understanding the evolution of competing institutional logics in the marketization of care: A stage model analysis of Australia's National Disability Insurance Scheme

This study explores the marketization of healthcare through a stage model analysis, focusing on Australia's National Disability Insurance Scheme (NDIS). By employing mixed methods, including sentiment and frequency analysis as well as qualitative content analysis of policy documents and media coverage, we trace the NDIS's evolution and the interplay of competing social welfare and market logics over time. Our findings underline that the evolution and interplay between competing institutional logics follow a stage model of institutional change, detailing pre-emergence, orientation, contestation, consolidation, and normalization phases. Additionally, we observe a shift in dominant institutional logics across different stages, demonstrating the critical role of media and public sentiment in shaping discourse about the marketization of care, which intertwines with policy decision-making. Our findings emphasize the importance of adaptive engagement and communication strategies by policymakers to avoid marginalizing vulnerable groups as institutional logics evolve, especially in the latter stages of the process when a dominant logic has emerged. The study highlights the complex dynamics of institutional change and offers insights for both researchers and practitioners in the healthcare sector, shedding light on the coevolution of competing logics in the policy development and implementation process.

Sensory-motor tuning allows generic features of conspecific acoustic scenes to guide rapid, adaptive, call-timing responses in túngara frogs.

Male frogs court females from within crowded choruses, selecting for mechanisms allowing them to call at favourable times relative to the calls of rivals and background chorus noise. To accomplish this, males must continuously evaluate the fluctuating acoustic scene generated by their competitors for opportune times to call. Túngara frogs produce highly frequency- and amplitude-modulated calls from within dense choruses. We used similarly frequency- and amplitude-modulated playback tones to investigate the sensory basis of their call-timing decisions. Results revealed that different frequencies present throughout this species' call differed in their degree of call inhibition, and that lower-amplitude tones were less inhibitory. Call-timing decisions were then driven by fluctuations in inhibition arising from underlying frequency- and amplitude-modulation patterns, with tone transitions that produced steeper decreases in inhibition having higher probabilities of triggering calls. Interactions between the varied behavioural sensitivities to different conspecific call frequencies revealed here, and the stereotyped amplitude- and frequency-modulation patterns present in this species' calls, can explain previously surprising patterns observed in túngara frog choruses. This highlights the importance of understanding the specific sensory drivers underpinning conspecific signalling interactions, and reveals how sensory systems can mediate the interplay between signal perception and production to facilitate adaptive communication strategies.

Who has dominated information spreading on social media during the early stage of COVID-19 pandemic in China? A temporal network analysis

In times of crisis, social media emerges as a pivotal channel for government-public communication. This study delves into the dynamics of a temporal weighted network on Weibo, analyzing 39,567,227 reposted data points related to the COVID-19 pandemic, specifically during its critical early stage. We examine the information dissemination roles of eight distinct user types: state-run news media, non-state-run news media, influential we media, normal we media, celebrities, organizations, governmental departments, and normal users. This is achieved through the application of three centrality metrics: temporal weighted degree centrality (TWDC), temporal weighted closeness centrality (TWCC), and temporal weighted betweenness centrality (TWBC), focusing on three cases (Top 10, Top 20, and Top 50) based on ranking results. Our findings reveal that while state-run news media were prolific in information publishing, their roles as central and mediator agents in information spreading were comparatively weaker than those of non-state-run news media and we media, especially influential we media. This pattern underscores potential risks in false information propagation and highlights gaps in the government's information dissemination strategy during the early stages of the pandemic. The study offers targeted theoretical and practical implications, suggesting how governments might more effectively leverage social media for crisis communication, thereby enhancing their role in combating misinformation and guiding public perception. These insights are crucial for framing more responsive and adaptive communication strategies in the initial phases of a crisis, providing a global blueprint for effective information management in public health emergencies.

Embedding Effective Communication in Early Childhood Learning in Schools: Experience from Early Childhood Teachers

ABSTRACT This study aims to strengthen the empirical evidence by analyzing the communication process between early childhood education (ECE) teachers and children during the learning process. It also aims to explore how the process occurs and how children respond. This qualitative descriptive exploratory research utilizes the content analysis method. Purposive sampling was used to select five teachers, including the head teacher, and forty-seven children who participated in this study. Data was collected through semi-structured interviews and non-participant observations to explore communication practices in the teaching and learning process, from the teachers perspective. The results emphasizes the importance of bidirectional communication, tailored to individual children for optimal engagement. It also highlights the role of language use and non-verbal cues in effective pedagogy, while acknowledging the challenges of material relevance and language barriers. The study underscores the significance of multimodal pedagogy, and adaptive communication strategies to address disparities in children’s engagement levels and language challenges. It advocates for the continuous refinement of pedagogical techniques to enhance effective communication between teachers and children, a crucial element for the overall improvement of early childhood education quality. Overall, the research provides valuable insights for both academic discourse and practical applications in early childhood education.

Https://rsisinternational.org/journals/ijriss/articles/challenges-in-supporting-visually-impaired-students-with-additional-disabilities/

This abstract explores the key barriers—communicational, technological, and attitudinal—that special educator face in accommodating children with visual impairment and additional disabilities under Samagra Shiksha Abhiyan. Communicational barriers arise due to the multifaceted needs of these children, requiring specialized methods such as braille, tactile aids, and adaptive communication strategies. However, the lack of adequate training and resources often hinders educators’ ability to effectively engage these students. Technological barriers further exacerbate the challenge, with insufficient access to and knowledge of assistive technologies like screen readers and adaptive devices limiting the support that can be provided. The rapid evolution of technology, coupled with financial and infrastructural constraints, leaves many educators struggling to keep pace with the tools necessary for inclusive education. Attitudinal barriers, stemming from societal biases and low expectations, significantly impact the educational experience of these children. Negative perceptions among educators, peers, and the broader community can lead to marginalization and inadequate support, undermining the inclusive goals of the program. Addressing these barriers is crucial for achieving the equitable educational opportunities envisioned by Samagra Shiksha Abhiyan. A focused approach that enhances training, improves technological access, and shifts attitudes towards inclusivity is essential for the full participation and success of children with visual impairments and additional disabilities. The accommodation of children with visual impairment and additional disabilities under Samagra Shiksha Abhiyan is fraught with significant challenges, particularly in terms of communicational, technological, and attitudinal barriers. Communicational barriers emerge as special educators struggle to address the complex needs of these students, who require specialized communication methods such as braille, tactile learning tools, and adaptive communication strategies. These methods are often not adequately supported by the existing infrastructure, and educators frequently lack the necessary training to implement them effectively. Technological barriers further compound the issue, with limited access to advanced assistive technologies such as screen readers, braille displays, and other adaptive devices. Even when these technologies are available, the rapid pace of advancement and the lack of proper training leave many educators unable to fully utilize them to support student learning. Attitudinal barriers represent another significant obstacle, as societal biases and misconceptions about the capabilities of children with multiple disabilities can lead to their marginalization. These attitudes, often reflected in the lower expectations of educators and the broader educational community, undermine efforts to provide a truly inclusive education. Addressing these barriers is crucial for realizing the goals of Samagra Shiksha Abhiyan and ensuring that all children receive the support they need to succeed in an inclusive educational environment.

Analysis of sentiment in the European Central Bank’s social media activity during the Covid-19 pandemic and Ukraine War: A navigating crisis communication

To assess and comprehend the communication strategy used by the European Central Bank (ECB) throughout the Covid-19 pandemic and war in Ukraine, this study considers the crisis communication tactics of the ECB. The study analyzes 11,781 tweets from the ECB's official Twitter account using sentiment analysis to look at how the Bank interacts with the public and how it uses adaptive communication strategies in these trying times. This research innovatively employs the AFINN and NRC sentiment analysis methods to evaluate the ECB's crisis communication. NRC's use of a comprehensive lexicon for emotional identification complements the pre-computed sentiment ratings of AFINN. The ECB's use of positive, clear communication built public trust and underlines sentiment analysis's utility in strategic crisis communication. The study's detailed investigation offers insights for improving crisis communication plans for better public engagement and economic stability.

MODERN TRENDS IN MARKETING COMMUNICATIONS FOR FARMS

The relevance and significance of marketing communications in agriculture in the context of global challenges is highlighted. The importance of taking into account the seasonality of products, which requires strategic planning of promotion to the market, is emphasized. Emphasis is placed on the influence of weather conditions and regional features on cultivated crops, which necessitates the flexibility of marketing strategies. It was noted that agriculture needs an approach that takes into account the diversity of target audiences, their needs and interests. The need for strategic orientation of farms on risk management, adaptation to a specific region and development of a reliable brand is shown. Outlines key aspects of farm communications, including the role of community programs. The growing popularity of the brand as a tool of trust between producers and consumers is emphasized. It was noted that modern marketing communications are becoming more and more integrated and adapted to various groups of stakeholders. The significance of the brand for farms in ensuring consumer trust and forming a positive image is emphasized. Attention is focused on the fact that in the conditions of variability of agriculture, there is a need for adaptive communication strategies. Methods of interaction with the target audience have been determined, in particular, through regional media, social networks and partnerships. The importance of combining different forms of communication to achieve optimal interaction with the market is shown. It is shown that the adaptation of marketing communications to the peculiarities of the region, seasonality and weather conditions is the key to successful product promotion. The key modern tools of marketing communications of farms, their content, advantages and disadvantages are presented. It is shown that the analysis of modern trends in marketing communications allows farms to optimize their communication strategies, responding to market needs and strengthening their positioning.

Covert signaling is an adaptive communication strategy in diverse populations.

Identity signals are those common components of communication transmissions that inform receivers of the signaler's membership in a categorizable subset of individuals. Such signals may be overt, broadcast to all possible receivers, or covert, encrypted so that only similar receivers are likely to perceive their identity-relevant meaning. Here we present an instrumental theory of covert signaling, based on the function of identity signals in social assortment. We argue that covert signaling is favored when signalers are generous toward strangers, when costs of being discovered as dissimilar are high, and when the ability to assort only with preferred partners is restricted. We further argue that covert signaling should be more common among members of "invisible" minorities, who are less likely to encounter similar individuals by chance. We formalize this theory with an evolutionary model to more rigorously explore the consequences of our assumptions. Our results have implications for our understanding of numerous aspects of social life, including communication, cooperation, social identity, humor, pragmatics, politics, hate speech, and the maintenance of diversity. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Reach and Utility of COVID-19 Information and Preventive Measures for Nomadic Populations in Massangam, West Region of Cameroon.

ABSTRACT.The separation of nomadic pastoralist settlements from settled communities is a well-known challenge to the health system. Difficulties reaching these groups contribute to inequities in their health and impact the spread or control of several diseases. COVID-19 has led to the suspension of many public health interventions in Cameroon, while preventive measures including behavior change communication have been ongoing since the onset of the pandemic. The reach and utility of these campaigns in semi-nomadic population remain unclear. This exploratory qualitative study was conducted in September to October 2020 using semi-structured interviews and focus group discussions with nomadic camp heads, and their wives to explore their interactions with communication campaigns, awareness, understanding, and acceptance of behavior change messages. The study revealed a general awareness of COVID-19 and its preventive measures and a prevailing belief that they were less at risk because their camps are isolated from the main communities, and the fact that they had never met a COVID-19 case. They perceived that the women were at lower risk because of their limited interaction outside the camps. There was a common concern regarding the transmission of COVID-19 to their cattle. Routes of communication were markets and mosques frequented by men, making access to information limited to or dependent on men. Financial constraints and lack of water were the main barriers affecting the access to and use of COVID-19 prevention measures. There is need for adaptive communication strategies especially tailored to the culture of nomadic pastoralists addressing gender dynamics of this subgroup.

INTERNAL AND EXTERNAL RELEVANCE OF SPEECH INTERACTION IN THE CONTEXT OF PARLIAMENTARY DELIBERATION

The category of relevance is one of the fundamental categories of the communicative interaction. The need for harmonized and effective communication is stipulated by adaptive communication strategies and approaches used towards both recipient and the conditions surrounding the communication process.
 Purpose. The article deals with the category of relevance, seen as a condition for successful coordination of cognitive models of interlocutors. The author outlines and considers two main factors underlying miscommunication: the discrepancies in cognitive competences and the disagreement over intentions, being the internal and external aspects of relevance.
 Materials and methods. The research is based on the analysis of the official transcripts and videos of the plenary debates of the French Assamblée Nationale. Methods applied include content analysis and logical analysis.
 Results. The present study shows that the internal and external aspects of relevance prove to be decisive in the context of a deliberative dialogue in parliamentary discourse. On the basis of a massively modular view of the human mind, the author postulates various types of relevance: propositional, illocutionary, interpersonal and argumentative. The author concludes that in parliamentary debates shouts, comments and remarks resulting from intuitive inferences are caused either by cognitive resonance or dissonance when it comes to relevance of discourse. These forms of feedback are presented as a reaction to certain ostensive triggers embedded in the main speaker’s sentences and marking their (ir)relevance.
 Practical implications. Further research, development, extension and evaluation of typology of triggers and markers of relevance might be of interest for the interactive cognitive-discursive analysis of not only parliamentary communication, but also any other communicative interaction characterized by deliberations.

An adaptive V2R communication strategy based on data delivery delay estimation in VANETs

Considering the high delay and packet loss ratio caused by vehicular dynamic topology in pure vehicle-to-vehicle (V2V) communication, vehicle-to-roadside unit (V2R) communication is an important strategy to improve the performance of vehicular ad hoc networks (VANETs). However, it still remains a challenge for vehicles to select the destination uplink node among roadside units (RSUs) deployed in VANETs due to complex and dynamic influence factors such as RSU coverage, traffic density, and vehicle moving distance during uplink. To establish a benchmark for selection of RSUs, we first analyze the data delivery delay quantitatively. Based on a V2R communication classification approach, we estimate the data delivery delay caused by dynamic influence factors. Second, we propose an adaptive V2R communication strategy to provide the most suitable routing choice for minimizing the delay. We also analyze the complexity of the proposed algorithm. Extensive simulations via Network Simulator 2 (NS-2) and NS Scenarios Generator 2 (NSG2) show that proposed algorithm outperforms two basic algorithms, i.e., the shortest distance selection and random selection algorithms and two related methods, i.e., trade-off method and predicted connection method in data delivery delay and packet delivery ratio.

Preparing for effective, adaptive risk communication about per‐ and polyfluoroalkyl substances in drinking water

AbstractDrinking water contamination and the potential subsequent long‐term adverse health outcomes is an issue of high importance and personal interest to affected communities. Per‐ and polyfluoroalkyl substances (PFAS) further complicate these issues through their technical complexity; evolving scientific and public health data; and inconsistent, incomplete, and evolving governmental guidance on screening and mitigation. The use of a community‐specific adaptive risk communication strategy can allow municipalities to assess and mitigate PFAS while addressing community concerns. Utilizing demographics data and the qualitative observations of the community's concerns based on social media and news activity, the study team prepared two outreach strategies for PFAS assessment and mitigation. Overall, application of this strategy to two different case studies revealed that the framework is sufficiently flexible to meet specific community needs. Evaluation of the communities' risk perception factors showed that while there were some commonalities, sufficiently different risk perception factors existed, which necessitated a community‐specific strategy.Article Impact StatementCreation of a community‐specific outreach plan for drinking water per‐ and polyfluoroalkyl substances issues is necessary for effective risk communication and outreach.

An Adaptive Communication-Efficient Federated Learning to Resist Gradient-Based Reconstruction Attacks

The widely deployed devices in Internet of Things (IoT) have opened up a large amount of IoT data. Recently, federated learning emerges as a promising solution aiming to protect user privacy on IoT devices by training a globally shared model. However, the devices in the complex IoT environments pose great challenge to federate learning, which is vulnerable to gradient-based reconstruction attacks. In this paper, we discuss the relationships between the security of federated learning model and optimization technologies of decreasing communication overhead comprehensively. To promote the efficiency and security, we propose a defence strategy of federated learning which is suitable to resource-constrained IoT devices. The adaptive communication strategy is to adjust the frequency and parameter compression by analysing the training loss to ensure the security of the model. The experiments show the efficiency of our proposed method to decrease communication overhead, while preventing privacy data leakage.

Hybrid Optimization Model for Multi-Hop Protocol of Linear Railway Disaster Wireless Monitoring Networks

The multi-hop protocols are proved effective in the railway disaster wireless monitoring system. However, farther transmission distance with the larger data will decline the valid lifetime and reliability of the system. Most existing studies focused primarily on the communication protocols optimization, and some works tried to utilize the limited computation ability at the network-level or node-level, which are insufficient for the stiff disaster information monitoring demands. This paper presents an adaptive hybrid computation and communication strategy to fully taking advantage of the sensor processing ability, and improve the energy efficiency at the link-level. Furthermore, an adaptive optimization model is designed to meet the different monitoring demands of the system, and the valid lifetime is improved accordingly. Numerical examples with various operational scenarios are developed to demonstrate the superiority and practicality of the proposed protocol in the lifetime improvement, energy consumption minimization and equalization compared with other outstanding protocols.

Shaping duo binary turbo-coded BICM scheme for JPWL image transmission using a link adaptation strategy over wireless channels

In order to guarantee a robust transmission of JPWL (JPEG Wireless: Joint Photographic Experts Group Wireless) images through time and frequency selective wireless channels, an efficient adaptive communication strategy is proposed. It is based on an optimization of a closed-loop adaptive multiple-input multiple-output, orthogonal frequency division multiplexing (MIMO-OFDM) scheme associated with a shaping BICM (bit-interleaved coded modulation) technique composed of a duo binary turbo code (DBTC), high-order modulations such as 64–256 QAM (Quadrature Amplitude Modulation) and a shaping code. According to the CSI (channel state information) knowledge at the transmitter side, an algorithm based on unequal error protection (UEP) and unequal power allocation (UPA) is used to select the transmitter key parameters (source/channel encoder rate, modulation order, power, number of quality layers and number of iterations of the Turbo decoder) to achieve the target Quality of Service (QoS). The proposed DBTC-shaping BICM scheme reaches a shaping gain of 1.2 dB for a 256 QAM modulation over a SISO Gaussian channel, whereas only 0.7 dB of shaping gain can be achieved in a scheme that uses the LDPC shaping BICM scheme for the same modulation order. Based on a DBTC shaping BICM scheme and an adaptive algorithm, the proposed MIMO-OFDM strategy achieves better performance compared to a strategy using an iterative process between an RS (Reed-Solomon) and arithmetic decoders. As a result, and on the one hand, a gain of 5.38 dB can be achieved in terms of PSNR (peak signal-to-noise ratio). On the other hand, a gain of 78% in terms of power consumption is obtained for the same QoS level. Moreover, the adaptive number of iterations in the proposed strategy can minimize the computational complexity of the turbo decoding compared to a scheme using four iterations whatever the channel conditions.