Layer Protocol Research Articles

Quicsdn: Transitioning from Tcp to Quic for Southbound Communication in Sdns

Transport and security layer protocols make up the backbone of communication between end point devices. In Software Defined Networking (SDN), these protocols play a crucial role in both control-plane and data-plane communications. However, the current transport and security layer protocols: TCP and TLS, are unable to keep up with the pace of SDN application development. For these applications, the TCP/TLS protocol suite generates excessive network overhead. After identifying the main overhead origins, we demonstrate that using QUIC as the SDN transport layer protocol significantly reduces the overhead and improves the efficiency of the network. In this paper, we introduce quicSDN to enable robust, low-overhead communication between the controller and switches. We ran a variety of experiments to highlight quicSDN's benefits, and compared experimental results with transport-layer overhead prediction models. quicSDN's performance is evaluated in terms of network overhead reduction and we also demonstrated quicSDN's connection migration capabilities. First, we compare the differences in controller-switch communication overhead between tcpSDN(SDN over TCP) and quicSDN. Overhead reduction was measured in three scenarios: flow rule installation, queue configuration, and flow rule statistics polling. Second, we compare the connection migration of quicSDN and tcpSDN; QUIC's ability to quickly migrate connections allows for reduced total traffic in comparison to TCP. Overall, our results show that quicSDN outperformed tcpSDN in our SDN scenarios, and as such, QUIC is a promising candidate as an SDN transport layer protocol in the future.

Next Generation Multiple Access: Performance Gains From Uplink MIMO-NOMA

The use of multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) based communication protocols is proposed and investigated for the uplink of wireless networks with buffered data-sources, which is the basis of the introduced medium access control (MAC)-layer protocol. To this end, the long-term average throughput is maximized by optimizing the set of users that transmit information at each time slot and their transmit power, the number of packets that are admitted in each user’s queue, and the transmission rates, assuming that the instantaneous channel state information is not available at the transmitters. Also, considering a receiver with multiple antennas, two detection techniques are used to mitigate the interference when two users are chosen to simultaneously transmit information in the same resource block, namely successive interference cancellation (SIC) and joint decoding (JD). More specifically, the outage probability for both considered techniques is derived in closed-from, which is a prerequisite for the derivation and the optimization of the throughput. The formulated multi-dimensional long-term stochastic optimization problem is solved by using the Lyapunov framework. Finally, simulation results verify the gains by using MIMO-NOMA as the basis of the next generation multiple access and illustrate the superiority of JD compared to SIC with respect to the number of the receiver’s antennas.

АНАЛІЗ МЕТОДІВ СТЕГАНОГРАФІЧНОЇ ПЕРЕДАЧІ ДАНИХ В ІНФОРМАЦІЙНИХ ТЕЛЕКОМУНІКАЦІЙНИХ МЕРЕЖАХ

Recently, network steganography methods based on the use of structural properties of OSI (Open System Interconnection) protocols have been widely used to mask the fact of information transmission in information and telecommunication networks. This allows to covertly transmit important data based on background traffic, without significantly reducing the data rate in the base (open) channel. With the correct choice of properties (groups of properties) of the protocol (protocols) of the OSI model, the methods of network steganography do not allow the steganoanalyst to detect the fact of hidden data transmission. In network steganography, the process of detecting hidden data transmission is based on the analysis of the protocol characteristics of the used protocols of the OSI model for compliance with standards. When using protocols of channel and network levels of the OSI model, as a technological basis for organizing a hidden data transmission channel, concealment is carried out by placing data, the fact of transmission of which must be hidden, in the visible fields of the headers of the corresponding protocols, i.e. in open form. Due to the fact that the IP encryption technology covers only the payload of network layer protocols, it is advisable to use transport layer protocols of the OSI model. At this level, the TCP protocol is the most common, and it is standardized and used by opposing parties, including the military. The paper analyzes the current state of hidden data transmission in public information telecommunications networks and methods of steganographic data transmission in information and telecommunications networks. The network protocols used in information telecommunication networks were also analyzed, the concept of "network steganography" was revealed, the main task of which is to hide the very fact of message transmission in data transmission channels.

Lightweight Privacy-Preserving GAN Framework for Model Training and Image Synthesis

Generative adversarial network (GAN) has excellent performance for data generation and is widely used in image synthesis. Outsourcing GAN to cloud platform is a popular way to save local computation resources and improve the efficiency, but it still faces the privacy leakage concerns: (1) the sensitive information of the training dataset may be disclosed in the cloud; (2) the trained model may reveal the privacy of training samples since it extracts the characteristics from the data. In this paper, we propose a lightweight privacy-preserving GAN framework (LP-GAN) for model training and image synthesis based on secret sharing scheme. Specifically, we design a series of efficient secure interactive protocols for different layers (convolution, batch normalization, ReLU, Sigmoid) of neural network (NN) used in GAN. Our protocols are scalable to build secure training or inference tasks for NN-based applications. We utilize edge computing to reduce the latency and all the protocols are executed on two edge servers collaboratively. Compared with the existing schemes, the proposed solution greatly improves efficiency, reduces communication overhead, and guarantees the privacy. We prove the correctness and security of LP-GAN by theoretical analysis. Extensive experiments on different real-world datasets demonstrate the effectiveness, accuracy, and efficiency of our scheme.

Influence of sex on neuroretinal degeneration: 6 month follow‐up in rats with chronic glaucoma

AbstractPurposeTo evaluate differences by sex in the neuroretina of rats with chronic glaucoma (CG) induced by two different methods of increased ocular hypertension (OHT) vs healthy animals (HA).MethodsForty‐six Long Evans rats (18 males, 28 females) with CG and paired HA were analyzed. Glaucoma was achieved by sclerosing the episcleral veins or by injecting microspheres into the anterior chamber. Intraocular pressure was measured every week by Tonolab® tonometer, neuroretinal function was recorded by dark/light‐adapted RETIanimal® electroretinography (ERG) at 0, 12 and 24 weeks; and structure was analyzed by Spectralis high definition Heidelberg® optical coherence tomography (OCT), using the Retina, Retinal Nerve Fiber Layer (RNFL) and Ganglion Cell Layer (GCL) protocols at 0, 8, 12, 18 and 24 weeks.ResultsMales showed statistically significant higher IOP in both CG models and HA (p < 0.05). Greater differences were found in the episcleral model at early stages. Males with episclerally induced glaucoma showed higher increase (p < 0.05) in retinal thickness in OCT recordings than its females, microspheres model and HA. CG rats showed bigger thickness loss of RNFL and GCL (p < 0.05) comparing HA. Males showed a higher percentage of RNFL thickness loss (p < 0.05) in both models and HA. No differences by sex were observed in GCL thickness in the episcleral model, but comparison in microspheres model and HA showed differences. Males exhibited worse dark/light‐adapted functionality in CG models (p < 0.05), with worsened in the episcleral model at 12 weeks, than paired females and HA.ConclusionsMale rats experienced higher IOP, structural loss and worse neurorretinal functionality than females under physiological and glaucomatous conditions. Sex and the OHT‐inducing method influenced neuroretinal degeneration.

Blockage-Aware Flow Control in E-UTRA-NR Dual Connectivity for QoS Enhancement

Millimeter-wave (mmWave) communication included in new radio (NR) provides high throughput to meet the stringent requirements of modern applications. However, its performance is highly dependent on whether obstacles are blocking line-of-sight (LOS) paths. Blockages on the LOS paths jeopardize reliable connections. E-UTRA-NR dual connectivity (EN-DC) is one option for managing unstable connectivity using robust long-term evolution (LTE) as well as mmWave NR. EN-DC aggregates and utilizes multiple links to provide a better quality of service (QoS) to users. However, the performance of EN-DC is strongly affected by flow control due to the possibility of out-of-order packet delivery at the packet data convergence protocol (PDCP) layer. In this paper, we propose a blockage-aware flow control scheme (BAFC) that appropriately responds to the dynamics of mmWave links in the presence of mobile blockages and improves users’ QoS. To this end, we also develop PDCP scheduling schemes that satisfy various users’ QoS requirements. Through extensive simulations, we verify that BAFC exploits over 99% of the sum capacity of links on average under rapidly changing channels due to mobile blockages. Moreover, BAFC combined with PDCP scheduling achieves higher throughput or reduces latency by up to 43.9% with minimal throughput degradation.

Fast Data Recovery for Improved Mobility Support in Multiradio Dual Connectivity

Data aggregation is one of the crucial features of the 3GPP Multi-Radio Dual Connectivity (MR-DC) technology. However, mobility events and radio link failures, which may occur during the data aggregation, may pose challenges in meeting the latency, reliability, and throughput key performance indicators (KPIs). Unlike single connectivity, the user equipment (UE) in MR-DC operation can experience such events in either of the two base stations (BSs) serving the UE with MR-DC. In typical MR-DC deployments, these events occur more frequently in the BS acting as the secondary node (SN) since the SN operates at a higher frequency band. In this paper, we show that handovers (HOs) and signal blockage events that occur at the SN can create out-of-order data reception or losses at the UE’s Packet Data Control Protocol (PDCP) layer, making the application stop receiving data for up to hundreds of milliseconds. Thus, challenging to meet the KPIs defined for such application. To mitigate this effect, we propose an intelligent and efficient mechanism that operates in the transmitting PDCP layer and significantly minimizes the data interruption periods suffered by the application when the UE aggregates data and HOs or failures of the SN occur. We use LTE/NR testbed experiments to show that the proposed mechanism achieves a high and stable aggregate throughput with near-zero interruption time and data reliability of at least five nines without transport layer retransmissions. The experiments are conducted for saturated TCP traffic and under link quality variations based on traces extracted from a Nokia-proprietary system-level simulator.

HARQ Optimization for PDCP Duplication-Based 5G URLLC Dual Connectivity

Packet duplication (PD) with dual connectivity (DC) was newly introduced in the 5G New Radio (NR) specifications to meet the stringent ultra reliable low latency communication (URLLC) requirements. PD technology uses duplicated packets in the packet data convergence protocol (PDCP) layer that are transmitted via two different access nodes (ANs) to the user equipment (UE) in order to enhance the reliability performance. However, PD can result in unnecessary retransmissions in the lower layers since the hybrid automatic retransmission request (HARQ) operation is unaware of the transmission success achieved through the alternate DC link to the UE. To overcome this issue, in this paper, a novel duplication-aware retransmission optimization (DRO) scheme is proposed to reduce the resource usage induced by unnecessary HARQ retransmissions. The proposed DRO scheme can minimize the average channel use while satisfying the URLLC requirements. The proposed DRO scheme derives the optimal HARQ retransmission attempts for different ANs by solving a nonlinear integer programming (NLIP) problem. The performance of the proposed DRO scheme was evaluated using MATLAB simulation and is compared to the existing 5G HARQ support schemes. The simulations results show that the proposed DRO scheme can provide a 14.71% and 15.11% reduced average channel use gain compared to the selective data duplication upon failure (SDUF) scheme and latency-aware dynamic multi-connectivity algorithm (LADMA) scheme, respectively, which are the existing 5G PD schemes that use HARQ.

Applying biocultural research protocols in ecology: Insider and outsider experiences from Australia

SummaryCollaborations between Indigenous and non‐Indigenous scientific researchers are increasingly mandated by global to local conservation policy and research ethics guidelines. Breakdowns occur due to misunderstandings around expected protocols of engagement and cooperation, which are compounded by lack of broader awareness of differences in cultural values, priorities and knowledge systems. Using first‐hand experiences, we outline eight key protocols and guidelines that researchers should consider when undertaking research with Indigenous peoples, or on Indigenous Country, through exploration of biocultural protocols and guidelines within Australian and Indigenous customary laws. We use the onion as a metaphor to highlight the layers of protocols and guidelines that researchers can peel back to guide their research from international to local scales, with ethics around the research question at the core. This paper draws on the perspectives and experiences of an Indigenous researcher (as ‘insider’/‘outsider’) and non‐Indigenous researcher (‘outsider’), working on a cross‐cultural and multidisciplinary investigation of past Aboriginal dispersal of rainforest trees on the Australian east coast. This paper is part of the special issue ‘Indigenous and cross-cultural ecology - perspectives from Australia’ published in Ecological Management & Restoration.

Technological Foundations of Ontological Ecosystems on the 3rd Generation Blockchains

In this article we present the technological foundations on which an ecosystem of semantic data objects can be implemented on the latest Blockchain based systems. As the most important citizens among the semantic data objects are ontologies, the ecosystem is referred to as Ontospace. The foundations can be characterized by their architectural, cryptographic and transactional aspects. The architectural aspect borrows from the latest Layer-2 protocols of the 3rd generation blockchains and from the rules of Linked Data systems creation. The cryptographic aspect represents an original work that attempts to resolve the issue of efficient hashing of the graph data structures. The transactional aspect is concerned with the graph replication consistency, conditions for the direct access to graph data from the blockchain smart-contracts and with linkage between sidechains bearing semantic objects and the main network. The large parts of the work were implemented in the context of the Ontochain project – a part of the Next Generation Internet EU Initiative.

A Comparison of Various IoT Application Layer Protocol

Data communication over the internet is highly swayed by protocols. So, the protocols have a very crucial role in data communication. Similarly, for the Internet of things (IoT) enabled devices the protocols have also an important role. In the Application-layer of IoT-enabled devices, the protocols have a significant role in the transfer of data from server to IoT devices and vice versa. There are different protocols are there, some are taken from web based internet protocols like Hyper Text Transfer Protocol (HTTP), Transmission Control Protocol (TCP), User Datagram Protocol (UDP), etc. And some are exclusively developed for IoT devices like Message Queue Telemetry Transport (MQTT), Constraint Application Protocol (CoAP), etc. IoT-enabled devices need a lightweight, secure and fast protocols for the transfer of data. When IoT enabled devices are developed there are limited number of protocols developed for communication of IoT devices. Various protocols are developed to fulfil the need of users but they have some advantages as well as disadvantages. In this paper, analysis of the performance and comparision of these protocols through different scenarios are given.

Predictability of Internet of Things Traffic at the Medium Access Control Layer Against Information-Theoretic Bounds

Most of the existing Medium Access Control (MAC) layer protocols for the Internet of Things (IoT) model the traffic generated by each IoT device via random arrivals such as those in a Poisson process. Under this model, since it is implied that IoT device traffic cannot be predicted, only reactive MAC-layer protocols in which the network responds to the current traffic are viable. In contrast, recent work has demonstrated that the traffic generated by an individual IoT device can be predictable, thus enabling predictive network protocols at the MAC layer. In this paper, we investigate information-theoretic bounds on the predictability of IoT traffic of individual devices. To this end, first, we compare the performance achieved by the following state-of-the-art forecasters on individual IoT device traffic: Logistic Regression, Multi-Layer Perceptron (MLP), 1-Dimensional Convolutional Neural Network (1D CNN), and Long Short Term Memory (LSTM) as well as MLP under feature selection based on Analysis of Variance (ANOVA) and Auto-Correlation Function (ACF). Second, we quantify the gap between the performance of these forecasters against information-theoretic bounds as follows: For IoT devices that generate a fixed number of bits at each generation instance, we measure the gap between the forecasting accuracy and the information-theoretic bound established by Fano’s inequality on the probability of correct prediction. Our empirical results show that existing forecasting schemes perform close to the information-theoretic bound in this case. For IoT devices that generate a variable number of bits, we measure the gap between the Mean Square Error (MSE) and the estimation-theoretic counterpart to Fano’s inequality. Our empirical results show that the performance of existing forecasting schemes is far from the information-theoretic bound in this case. This work thus motivates the machine learning community to develop forecasting schemes that approach information-theoretic bounds. Furthermore, this work is expected to impact the development of predictive MAC-layer protocols that exploit these bounds.

Построение и анализ модели передачи в соте 5G в виде двухфазной системы массового обслуживания с учетом механизма предсказания повторной передачи

The mechanism of early channel adaptation based on e-HARQ (early Hybrid Automatic Repeat reQuest) prediction for the downlink of a mobile network, which solves the problem of improving information transmission characteristics, is studied. The model is a two-phase queuing system (QS). In the QS, at the first phase, the prediction process with the possibility of relaying is modeled, and at the second phase, the process of message processing by the user terminal based on the HARQ physical layer protocol is considered. The HARQ protocol in the 5G network provides the transmitter with an acknowledgment message ACK in case of successful decoding of the packet, and NACK in case of error. Its main disadvantage is the limitation on RTT (Round Trip Time) - the time interval between the initial and retransmission processes. Numerical analysis of the obtained probabilistic-temporal characteristics (PTCR) is carried out. At the first stage, the transition probabilities were found by modeling the link layer of the 5G network. Obtaining realistic values for the transition probabilities allows using this analytical model to analyze and optimize existing e-HARQ prediction schemes. Next, a simulation complex was developed to check the correctness of the analytical model.

МЕТОД КЛАСИФІКАЦІЇ ДОДАТКІВ ТРАФІКА КОМП'ЮТЕРНИХ МЕРЕЖ НА ОСНОВІ МАШИННОГО НАВЧАННЯ В УМОВАХ НЕВИЗНАЧЕНОСТІ

The paper proposes a method for classifying applications of computer network traffic based on machine learning in conditions of uncertainty. Modern methods of classification of computer network traffic applications (such as the classification of transport layer protocols by port numbers) have significant shortcomings, which leads to and is the reason for the growth of research in the direction of classification of computer network traffic applications. The rapid growth in recent years of the types and number of transport layer network protocols increases the relevance of research in this area, the development of appropriate algorithms and methods for classifying applications of computer network traffic, which reduce computational complexity. At the present stage, the problem that needs to be urgently addressed is the classification of computer network traffic applications using appropriate protocols and encryption algorithms. A promising area of classification of computer network traffic applications is statistical methods, which are based on the analysis and identification of statistical characteristics of IP traffic. The most promising are the intellectual analysis of data flow, as well as machine learning technologies, which are currently widely used in related fields of science. The problem of research and training according to precedents is solved - classification of computer network traffic applications on the basis of pre-known set of attributes of their features, in order to improve the technical base of computer networks and theoretical base, while ensuring high performance and quality networks. example of using transport layer protocols (TCP / IP stack). The result of solving this problem is to assign the application, in accordance with the rules of the educational sample, to one of the outstanding classes, which are predetermined, which contains the relevant, but already classified applications. Statistical analysis and research of the attributes of Internet applications showed that the most important attributes associated with changes in the volume of Internet traffic flow are exponential. Fisher's criterion can be used to calculate anomalous changes in the amount of Internet traffic of applications to calculate averages. To classify Internet applications in data streaming mode, an algorithm for detecting the offset of the concept (drift) of data flow traffic is proposed for continuous data flow. Fisher's drift detector is based on the statistical characteristics of the attributes of Internet applications, analyzed using sliding windows that monitor changes in traffic current statistical characteristics of the attributes of applications.

Adaptive Quality-of-Service Allocation Scheme for Improving Video Quality over a Wireless Network

The need to ensure the quality of video streaming transmitted over wireless networks is growing every day. Video streaming is typically used for applications that are sensitive to poor quality of service (QoS) due to insufficient bandwidth, packet loss, or delay. These challenges hurt video streaming quality since they affect throughput and packet delivery of the transmitted video. To achieve better video streaming quality, throughput must be high, with minimal packet delay and loss ratios. A current study, however, found that the adoption of the adaptive multiple TCP connections (AM-TCP), as a transport layer protocol, improves the quality of video streaming by increasing throughput and lowering packet delay and loss on high QoS wireless networks. The main objective of this study is to develop a Quality of Service (QoS) method for enhancing video streaming quality over wireless networks. For that, this paper proposes a bandwidth aggregation adaptive multiple TCP-connection (BAM-TCP) scheme to enhance the video streaming quality. BAM-TCP combines AM-TCP with a bandwidth aggregation (BAG) method to aggregate bandwidth from numerous connections. Simulation experiments demonstrate that the BAM-TCP method enhances throughput while minimizing packet loss ratio and end-to-end delay.

Iterative Equalization of STSK-Aided Single-Carrier Systems: Design and Analysis With Non-Ideal Power Amplifiers

A plethora of new applications will be enabled by next generation wireless networks. These demand sophisticated medium access control and physical layer protocols in order to fulfill the requirements in terms of spectral efficiency, bit error rate (BER), energy efficiency, reliability, and security, among others. This paper develops an advanced space-time multiple-input, multiple-output (MIMO) solution that builds on the concept of space-time shift keying (STSK) for single-carrier frequency domain equalization (SC-FDE). STSK-aided SC-FDE, or SSF, ensures space-time and frequency diversity in dispersive channels, but can only support suboptimal linear receiver schemes. We therefore introduce a turbo equalizer for SSF in frequency-selective multipath channels. It enables inter-symbol-interference cancellation by means of iterative space-time processing. We coin it the iterative space-time block equalizer (SSF-ISTBE). We provide the mathematical formulation for the proposed SSF-ISTBE framework in non-linear channel conditions. We demonstrate that the SSF-ISTBE achieves a substantial 4 dB gain in terms of BER over the linear minimum mean square error equalizer while significantly reducing the computational complexity of the optimal maximum likelihood SSF. When considering practical transceivers, in particular non-linear power amplifiers, the gain of the SSF-ISTBE becomes more prominent over state-of-the-art approaches, demonstrating its robustness against non-linear distortion.

Proficient Networking Protocol for BPLC Network Built on Adaptive Multicast, PNP-BPLC

In order to solve the problems of the existing broadband power line carrier communication standard IEEE1901.1 data link layer protocol network, multiple primary nodes receiving the beacon will send connotation entreaty message, and CCO will send an association sanction message proximately after receiving the message to confirm their character the central coordinator CCO association confirmation message reply is not timely to reduce the success rate of network access, high network access delay and control overhead. Based on the characteristics of BPLC carrier network, Proficient networking instrument of broadband PLC built on adaptive multicast PNP-BPLC is proposed in this paper. The simulation results show that adaptive multicast is used when CCO replies to the primary station, which can excellently recover the success rate of low-voltage PLB carrier communication nodes, decrease the network access delay and cut the network control overhead. Finally we used to OPNET simulation software to prove simulation result.

Performance Analysis of SSL/TLS Crypto Libraries: Based on Operating Platform

. Security in Computer Network Communication is of great importance because unauthorized users attempt to steal, modify, misuse, interrupt, and try to un-stabilize, smartly our network systems. Therefore up to some extent, the secure communication provided by Transport Layer Protocol, implementation of the TLS function, and distinct libraries were designed by researchers, of which each library has the broad support of the encryption algorithms. But security can be compromised and seen in an offensive maneuver of the digital world as the main challenge in communication. In this paper, performance analysis of the most authentic six libraries: OpenSSL, AWS s2n, GnuTLS, NSS, BoringSSL, and Cryptlib performed to find appropriate TLS libraries for uncompromised communication based on throughput, CPU usage in the different virtual operating environments.

Toward Wisdom-Evolutionary and Primitive-Concise 6G: A New Paradigm of Semantic Communication Networks

The sixth generation (6G) mobile networks will reshape the world by offering instant, efficient, and intelligent hyper-connectivity, as envisioned by the previously proposed Ubiquitous-X 6G networks. Such hyper-massive and global connectivity will introduce tremendous challenges into the operation and management of 6G networks, calling for revolutionary theories and technological innovations. To this end, we propose a new route to boost network capabilities toward a wisdom-evolutionary and primitive-concise network (WePCN) vision for the Ubiquitous-X 6G network. In particular, we aim to concretize the evolution path toward the WePCN by first conceiving a new semantic representation framework, namely semantic base, and then establishing an intelligent and efficient semantic communication (IE-SC) network architecture. In the IE-SC architecture, a semantic intelligence plane is employed to interconnect the semantic-empowered physical-bearing layer, network protocol layer, and application-intent layer via semantic information flows. The proposed architecture integrates artificial intelligence and network technologies to enable intelligent interactions among various communication objects in 6G. It features a lower bandwidth requirement, less redundancy, and more accurate intent identification. We also present a brief review of recent advances in semantic communications and highlight potential use cases, complemented by a range of open challenges for 6G.

AI-driven adaptive reliable and sustainable approach for internet of things enabled healthcare system.

Artificial Intelligence (AI) driven adaptive techniques are viable to optimize the resources in the Internet of Things (IoT) enabled wearable healthcare devices. Due to the miniature size and ability of wireless data transfer, Body Sensor Networks (BSNs) have become the center of attention in current medical media technologies. For a long-term and reliable healthcare system, high energy efficiency, transmission reliability, and longer battery lifetime of wearable sensors devices are required. There is a dire need for empowering sensor-based wearable techniques in BSNs from every aspect i.e., data collection, healthcare monitoring, and diagnosis. The consideration of protocol layers, data routing, and energy optimization strategies improves the efficiency of healthcare delivery. Hence, this work presents some key contributions. Firstly, it proposes a novel avant-garde framework to simultaneously optimize the energy efficiency, battery lifetime, and reliability for smart and connected healthcare. Secondly, in this study, an Adaptive Transmission Data Rate (ATDR) mechanism is proposed, which works on the average constant energy consumption by varying the active time of the sensor node to optimize the energy over the dynamic wireless channel. Moreover, a Self-Adaptive Routing Algorithm (SARA) is developed to adopt a dynamic source routing mechanism with an energy-efficient and shortest possible path, unlike the conventional routing methods. Lastly, real-time datasets are adopted for intensive experimental setup for revealing pervasive and cost-effective healthcare through wearable devices. It is observed and analysed that proposed algorithms outperform in terms of high energy efficiency, better reliability, and longer battery lifetime of portable devices.