Bidirectional Communication Research Articles

Network Security Challenges and Countermeasures for Software-Defined Smart Grids: A Survey

The rise of grid modernization has been prompted by the escalating demand for power, the deteriorating state of infrastructure, and the growing concern regarding the reliability of electric utilities. The smart grid encompasses recent advancements in electronics, technology, telecommunications, and computer capabilities. Smart grid telecommunication frameworks provide bidirectional communication to facilitate grid operations. Software-defined networking (SDN) is a proposed approach for monitoring and regulating telecommunication networks, which allows for enhanced visibility, control, and security in smart grid systems. Nevertheless, the integration of telecommunications infrastructure exposes smart grid networks to potential cyberattacks. Unauthorized individuals may exploit unauthorized access to intercept communications, introduce fabricated data into system measurements, overwhelm communication channels with false data packets, or attack centralized controllers to disable network control. An ongoing, thorough examination of cyber attacks and protection strategies for smart grid networks is essential due to the ever-changing nature of these threats. Previous surveys on smart grid security lack modern methodologies and, to the best of our knowledge, most, if not all, focus on only one sort of attack or protection. This survey examines the most recent security techniques, simultaneous multi-pronged cyber attacks, and defense utilities in order to address the challenges of future SDN smart grid research. The objective is to identify future research requirements, describe the existing security challenges, and highlight emerging threats and their potential impact on the deployment of software-defined smart grid (SD-SG).

Heart-Brain Axis: A Narrative Review of the Interaction between Depression and Arrhythmia.

Arrhythmias and depression are recognized as diseases of the heart and brain, respectively, and both are major health threats that often co-occur with a bidirectional causal relationship. The autonomic nervous system (ANS) serves as a crucial component of the heart-brain axis (HBA) and the pathway of interoception. Cardiac activity can influence emotional states through ascending interoceptive pathways, while psychological stress can precipitate arrhythmias via the ANS. However, the HBA and interoception frameworks are often considered overly broad, and the precise mechanisms underlying the bidirectional relationship between depression and arrhythmias remain unclear. This narrative review aims to synthesize the existing literature, focusing on the pathological mechanisms of the ANS in depression and arrhythmia while integrating other potential mechanisms to detail heart-brain interactions. In the bidirectional communication between the heart and brain, we emphasize considering various internal factors such as genes, personality traits, stress, the endocrine system, inflammation, 5-hydroxytryptamine, and behavioral factors. Current research employs multidisciplinary knowledge to elucidate heart-brain relationships, and a deeper understanding of these interactions can help optimize clinical treatment strategies. From a broader perspective, this study emphasizes the importance of considering the body as a complex, interconnected system rather than treating organs in isolation. Investigating heart-brain interactions enhance our understanding of disease pathogenesis and advances medical science, ultimately improving human quality of life.

The gut microbiota-brain axis in neurological disorders.

Previous studies have shown a bidirectional communication between human gut microbiota and the brain, known as the microbiota-gut-brain axis (MGBA). The MGBA influences the host's nervous system development, emotional regulation, and cognitive function through neurotransmitters, immune modulation, and metabolic pathways. Factors like diet, lifestyle, genetics, and environment shape the gut microbiota composition together. Most research have explored how gut microbiota regulates host physiology and its potential in preventing and treating neurological disorders. However, the individual heterogeneity of gut microbiota, strains playing a dominant role in neurological diseases, and the interactions of these microbial metabolites with the central/peripheral nervous systems still need exploration. This review summarizes the potential role of gut microbiota in driving neurodevelopmental disorders (autism spectrum disorder and attention deficit/hyperactivity disorder), neurodegenerative diseases (Alzheimer's and Parkinson's disease), and mood disorders (anxiety and depression) in recent years and discusses the current clinical and preclinical gut microbe-based interventions, including dietary intervention, probiotics, prebiotics, and fecal microbiota transplantation. It also puts forward the current insufficient research on gut microbiota in neurological disorders and provides a framework for further research on neurological disorders.

Gut-Brain Axis: Unveiling the Interplay Between Diabetes Mellitus and Alzheimer's Disease.

The gut-brain axis (GBA) represents a complex bidirectional communication system linking the gastrointestinal tract with the CNS, influencing various physiological processes, including cognition. Emerging research suggests a significant interplay between diabetes mellitus (DM) and Alzheimer's disease (AD) mediated through this axis. DM, characterized by impaired insulin signaling and chronic inflammation, appears to exacerbate the pathology of AD. Key mechanisms include insulin resistance affecting neuronal function and promoting amyloid-beta accumulation and tau phosphorylation, hallmark features of AD. Additionally, dysbiosis of gut microbiota in DM may contribute to neuroinflammation and oxidative stress, further aggravating AD pathology. The gut microbiota can modulate systemic inflammation and metabolic dysfunction, potentially impacting AD progression in DM individuals. Understanding these interactions is crucial for developing targeted therapeutic strategies that address both DM and AD simultaneously. This abstract highlights the intricate relationship between metabolic disorders like DM and neurodegenerative conditions such as AD, emphasizing the role of the GBA as a pivotal area for future research and therapeutic interventions.

Histone serotonylation regulates ependymoma tumorigenesis.

Bidirectional communication between tumours and neurons has emerged as a key facet of the tumour microenvironment that drives malignancy1,2. Another hallmark feature of cancer is epigenomic dysregulation, in which alterations in gene expression influence cell states and interactions with the tumour microenvironment3. Ependymoma (EPN) is a paediatric brain tumour that relies on epigenomic remodelling to engender malignancy4,5; however, how these epigenetic mechanisms intersect with extrinsic neuronal signalling during EPN tumour progression is unknown. Here we show that the activity of serotonergic neurons regulates EPN tumorigenesis, and that serotonin itself also serves as an activating modification on histones. We found that inhibiting histone serotonylation blocks EPN tumorigenesis and regulates the expression of a core set of developmental transcription factors. High-throughput, in vivo screening of these transcription factors revealed that ETV5 promotes EPN tumorigenesis and functions by enhancing repressive chromatin states. Neuropeptide Y (NPY) is one of the genes repressed by ETV5, and its overexpression suppresses EPN tumour progression and tumour-associated network hyperactivity through synaptic remodelling. Collectively, this study identifies histone serotonylation as a key driver of EPN tumorigenesis, and also reveals how neuronal signalling, neuro-epigenomics and developmental programs are intertwined to drive malignancy in brain cancer.

Precision Medicine in Peritoneal Dialysis: An Expert Opinion on the Application of the Sharesource Platform for the Remote Management of Patients.

The management of end-stage kidney disease (ESKD) has been constantly evolving over the last decade with the development of targeted approaches. In this field, telemedicine and remote monitoring are based on the availability of new cyclers that allow for bidirectional communication (between patient and physician) and for the application of the Sharesource cloud-based platform. These technologies allow patients with ESKD to undergo automated peritoneal dialysis (APD) at home. However, these approaches are not well standardized and largely applied yet. Therefore, this study aimed to elaborate a protocol for the utilization of the Sharesource platform to facilitate the practical management of patients treated with APD. A series of expert meetings were held between September 2022 and January 2023 in Italy. The participants (ten nephrologists and five nurses) from nine Italian public dialysis centers shared their opinions, examined the current scientific literature in the field, and reviewed the key characteristics of the Sharesource system to achieve a common position on this topic. A detailed and practical document containing experts' opinions and suggestions on the use of the Sharesource platform for the management of patients treated with APD was produced. This expert opinion might represent a new useful instrument in clinical practice for managing patients undergoing home-based peritoneal dialysis (PD) through the Sharesource platform, which is valid not only for Italy. These recommendations pave the way to novel patient-centered and personalized therapeutic approaches for ESKD and highlight the advantages of telemedicine and remote monitoring in the management of patients with ESKD undergoing PD and its positive impact on their quality of life.

A New Semi-Quantum Two-Way Authentication Protocol between Control Centers and Neighborhood Gateways in Smart Grids.

To address the potential threat to the power grid industry posed by quantum computers and ensure the security of bidirectional communication in smart grids, it is imperative to develop quantum-safe authentication protocols. This paper proposes a semi-quantum bidirectional authentication protocol between a control center (CC) and a neighboring gateway (NG). This method uses single photons to facilitate communication between the CC and the NG. Security analysis demonstrates that the protocol can effectively resist common attack methods, including double CNOT attacks, impersonation attacks, interception-measurement-retransmission attacks, and entanglement-measurement attacks. Comparisons with other protocols reveal that this protocol has significant advantages, making it more appealing and practical for real-world applications. Finally, by simulating the protocol on the IBM quantum simulator, this protocol not only validates the theoretical framework but also confirms the practical feasibility of the protocol.

Meta-analysis of the gut-brain axis and mental disorder

The gut-brain axis refers to the bidirectional information communication network between the brain and the gut. Microbiome and gut-brain axis have been implicated in mental disorders and have become the focus of neuroscience research. A meta-analysis was conducted to summarize the evidence regarding this link. A filtering search was performed using Hollis, PubMed, and Google Scholar to identify considered studies and trials. A keyword search identified 5500 articles. Seven provided analytically valuable and eligible data and were finally included for consideration and analysis. The data offered relevant studies on depression or anxiety, Schizophrenia, and Alzheimer's disease. Of the seven papers, four used correlational analysis (n=952) on depression and anxiety, two (n=384) on Schizophrenia, and one (n=80) on Alzheimers disease. These correlation analyses were designed to investigate the differences in gut microbial abundance between normal individuals and patients with mental disorders. In addition, three studies (n=314) identified a causal link by comparing the changes in mental health status by altering or influencing the gut microbiota. These causal analyses aimed to explore the differences in gut microbial abundance before and after the onset of mental disorders. In this case, mental illnesses were 2.8 to 14 times higher in the experimental groups than in the control groups. The findings support the hypothesis that the health of the gut-brain axis (microbial abundance) is inversely correlated to the incidence of many psychological disorders. However, how the gut-brain axis facilitates the pathogenesis of mental disorders remains to be further studied.

Relationships between Gut Microbiota and Autism Spectrum Disorders: Development and Treatment.

Many studies have demonstrated the impact of intestinal microbiota on normal brain development. Moreover, the gut microbiota (GM) is impacted by multiple endogenous and environmental factors that may promote gut dysbiosis (GD). An increasing number of studies are investigating the possible role of the GD in the development of neurological and behavioral disorders. For autism spectrum disorders (ASD), specific intestinal bacterial signatures have been identified, knowing that gastrointestinal symptoms are frequently found in ASD. In this review, the peri and post-natal factors modulating the GM are described and the specific gut bacterial signature of ASD children is detailed. Through bidirectional communication between the GM and the brain, several mechanisms are involved in the development of ASD, such as cytokine-mediated neuroinflammation and decreased production of neuroprotective factors such as short-chain fatty acids by the GM. Imbalance of certain neurotransmitters such as serotonin or gamma-aminobutyric acid could also play a role in these gut-brain interactions. Some studies show that this GD in ASD is partly reversible by treatment with pre- and probiotics, or fecal microbiota transplantation with promising results. However, certain limitations have been raised, in particular concerning the short duration of treatment, the small sample sizes and the diversity of protocols. The development of standardized therapeutics acting on GD in large cohort could rescue the gastrointestinal symptoms and behavioral impairments, as well as patient management.

Prevention of Pregnancy Complications Using a Multimodal Lifestyle, Screening, and Medical Model.

Prevention of pregnancy complications related to the "great obstetrical syndromes" (preeclampsia, fetal growth restriction, spontaneous preterm labor, and stillbirth) is a global research and clinical management priority. These syndromes share many common pathophysiological mechanisms that may contribute to altered placental development and function. The resulting adverse pregnancy outcomes are associated with increased maternal and perinatal morbidity and mortality and increased post-partum risk of cardiometabolic disease. Maternal nutritional and environmental factors are known to play a significant role in altering bidirectional communication between fetal-derived trophoblast cells and maternal decidual cells and contribute to abnormal placentation. As a result, lifestyle-based interventions have increasingly been recommended before, during, and after pregnancy, in order to reduce maternal and perinatal morbidity and mortality and decrease long-term risk. Antenatal screening strategies have been developed following extensive studies in diverse populations. Multivariate preeclampsia screening using a combination of maternal, biophysical, and serum biochemical markers is recommended at 11-14 weeks' gestation and can be performed at the same time as the first-trimester ultrasound and blood tests. Women identified as high-risk can be offered prophylactic low dose aspirin and monitored with angiogenic factor assessment from 22 weeks' gestation, in combination with clinical assessment, serum biochemistry, and ultrasound. Lifestyle factors can be reassessed during counseling related to antenatal screening interventions. The integration of lifestyle interventions, pregnancy screening, and medical management represents a conceptual advance in pregnancy care that has the potential to significantly reduce pregnancy complications and associated later life cardiometabolic adverse outcomes.

Design of New BLE GAP Roles for Vehicular Communications.

Bluetooth Low Energy (BLE) is a prominent short-range wireless communication protocol widely extended for communications and sensor systems in consumer electronics and industrial applications, ranging from manufacturing to retail and healthcare. The BLE protocol provides four generic access profile (GAP) roles when it is used in its low-energy version, i.e., ver. 4 and beyond. GAP roles control connections and allow BLE devices to interoperate each other. They are defined by the Bluetooth special interest group (SIG) and are primarily oriented to connect peripherals wirelessly to smartphones, laptops, and desktops. Consequently, the existing GAP roles have characteristics that do not fit well with vehicular communications in cooperative intelligent transport systems (C-ITS), where low-latency communications in high-density environments with stringent security demands are required. This work addresses this gap by developing two new GAP roles, defined at the application layer to meet the specific requirements of vehicular communications, and by providing a service application programming interface (API) for developers of vehicle-to-everything (V2X) applications. We have named this new approach ITS-BLE. These GAP roles are intended to facilitate BLE-based solutions for real-world scenarios on roads, such as detecting road traffic signs or exchanging information at toll booths. We have developed a prototype able to work indistinctly as a unidirectional or bidirectional communication device, depending on the use case. To solve security risks in the exchange of personal data, BLE data packets, here called packet data units (PDU), are encrypted or signed to guarantee either privacy when sharing sensitive data or authenticity when avoiding spoofing, respectively. Measurements taken and their later evaluation demonstrated the feasibility of a V2X BLE network consisting of picocells with a radius of about 200 m.

Harnessing the Gut Microbiome: To What Extent Can Pre-/Probiotics Alleviate Immune Activation in Autism Spectrum Disorder?

Children diagnosed with autism spectrum disorder (ASD) are at an increased risk of experiencing gastrointestinal (GI) discomfort, which has been linked to dysfunctions in the microbiome-gut-brain axis. The bidirectional communication between gut and brain plays a crucial role in the overall health of individuals, and alterations in the gut microbiome can contribute to immune activation and gut-brain dysfunction in ASD. Despite the limited and controversial results of pre-/probiotic applications in ASD, this review comprehensively maps the association between ASD clinical symptoms and specific bacterial taxa and evaluates the efficacy of pre-/probiotics in modulating microbiota composition, reducing inflammatory biomarkers, alleviating difficulties in GI distress, sleep problems, core and other ASD-associated symptoms, as well as relieving parental concerns, separately, in individuals with ASD. Beyond simply targeting core ASD symptoms, this review highlights the potential of pre-/probiotic supplementations as a strategy to modulate gut homeostasis and immune response, and to delineate the potential mechanisms by which its direct or mediating effects can alleviate gut-brain dysfunction and poor nutritional status in ASD management. Further well-designed randomized controlled trials are needed to strengthen the existing evidence and establish optimal protocols for the use of pre-/probiotics in the context of ASD.

Pivoting From Influenza to COVID-19 Vaccinations: How a Minnesota Vaccination Program Reduced Barriers for Refugee, Immigrant, and Migrant Communities Accessing Vaccines During the COVID-19 Pandemic.

The Minnesota Immunization Networking Initiative (MINI) led by Fairview Health Services has addressed barriers to accessing immunizations through partnerships with community organizations to provide free influenza vaccinations to historically underserved communities, especially refugee, immigrant, and migrant communities. Once the COVID-19 vaccine was available, MINI quickly pivoted operations to distribute the vaccine and provide technical assistance to community partners amidst rapidly evolving guidance. With infrastructure and a vaccination team in place, MINI responded to new and emerging needs, eg, implementing a more accessible and low-tech scheduling system, increasing staffing to meet growing needs, and expanding partnerships with community organizations and leaders. From February 2021 to September 2023, MINI organized 1120 community-based vaccine clinics and administered 43,123 COVID-19 vaccinations. Of those vaccine recipients, 88% identified as Black, Indigenous, and other people of color, and for preferred language, over half stated that they preferred a language other than English. These demographics are similar to those of the earlier influenza clinics, even as average annual clinics have tripled and average total vaccinations have quadrupled since the pivot to COVID-19 vaccination clinics. Some keys to success were: (1) consistent, bidirectional communication and shared decision-making with community partners; (2) prioritizing sustainable staffing models with the support of administrative leadership and resources; and (3) having a community-informed approach supported by the practice of hiring staff from communities served. Because of the effectiveness of this model, MINI is primed to respond to planned and unplanned emergent public health crises.

The Impact of Antidepressants on Gut Microbiome and Depression Management

Depression is a widespread psychiatric disorder that significantly impacts an individual’s quality of life. It affects mental and emotional well-being and has far-reaching consequences on their physical health, relationships, and overall ability to function in daily life. Recent advances in psychiatric research have revealed a connection between the gut-brain axis, a bidirectional communication system linking the brain's emotional and cognitive centers with intestinal functions. Antidepressants, including selective serotonin reuptake inhibitors (SSRIs), tricyclic antidepressants (TCAs), and monoamine oxidase inhibitors (MAOIs), are commonly prescribed to alleviate symptoms of depression. However, their influence extends beyond neurotransmitter modulation in the brain to significant effects on gastrointestinal physiology. Antidepressants can alter gut motility, secretion, and microbiota composition, which in turn can influence mood and mental health. This review aims to provide insights into the impact of antidepressants on gut health and their implications for depression treatment. Additionally, it explores the potential of probiotics as an adjunct treatment to enhance the efficacy of antidepressants and mitigate gastrointestinal side effects. Restoring healthy gut microbiota can improve gastrointestinal and mental health outcomes, suggesting a promising avenue for integrated therapeutic approaches.

IL-1R signaling drives enteric glia-macrophage interactions in colorectal cancer

Enteric glia have been recently recognized as key components of the colonic tumor microenvironment indicating their potential role in colorectal cancer pathogenesis. Although enteric glia modulate immune responses in other intestinal diseases, their interaction with the colorectal cancer immune cell compartment remains unclear. Through a combination of single-cell and bulk RNA-sequencing, both in murine models and patients, here we find that enteric glia acquire an immunomodulatory phenotype by bi-directional communication with tumor-infiltrating monocytes. The latter direct a reactive enteric glial cell phenotypic and functional switch via glial IL-1R signaling. In turn, tumor glia promote monocyte differentiation towards pro-tumorigenic SPP1+ tumor-associated macrophages by IL-6 release. Enteric glia cell abundancy correlates with worse disease outcomes in preclinical models and colorectal cancer patients. Thereby, our study reveals a neuroimmune interaction between enteric glia and tumor-associated macrophages in the colorectal tumor microenvironment, providing insights into colorectal cancer pathogenesis.

T cell and airway smooth muscle interaction: a key driver of asthmatic airway inflammation and remodeling.

Cross talk between T cells and airway smooth muscle (ASM) may play a role in modulating asthmatic airway inflammation and remodeling. Infiltrating T cells have been observed within the ASM bundles of asthmatics, and a wide range of direct and indirect interactions between T cells and ASM has been demonstrated using various in vitro and in vivo model systems. Contact-dependent mechanisms such as ligation and activation of cellular adhesion and costimulatory molecules, as well as the formation of lymphocyte-derived membrane conduits, facilitate the adhesion, bidirectional communication, and transfer of materials between T and ASM cells. T cell-derived cytokines, particularly of the Th1, Th2, and Th17 subsets, modulate the secretome, proliferation, and contractility of ASM cells. This review summarizes the mechanisms governing T cell-ASM cross talk in the context of asthma. Understanding the underlying mechanistic basis is important for directing future research and developing therapeutic interventions targeted toward this complex interaction.

Multiple Functional Protein-Protein Interaction Interfaces Allosterically Regulate ATP-Binding in Cyclin-Dependent Kinase-1.

The ATP-dependent phosphorylation activity of cyclin-dependent kinase 1 (CDK1), an essential enzyme for cell cycle progression, is regulated by interactions with Cyclin-B, substrate, and Cks proteins. We have recently shown that active site acetylation in CDK1 abrogated binding to Cyclin-B which posits an intriguing long-range communication between the catalytic site and the protein-protein interaction (PPI) interface. Now, we demonstrate a general allosteric link between the CDK1 active site and all three of its PPI interfaces through atomistic molecular dynamics (MD) simulations. Specifically, we examined ATP binding free energies to CDK1 in native nonacetylated (K33wt) and acetylated (K33Ac) forms as well as the acetyl-mimic K33Q and the acetyl-null K33R mutant forms, which are accessible in vitro. In agreement with experiments, ATP binding is stronger in K33wt relative to the other three perturbed states. Free energy decomposition reveals, in addition to expected local changes, significant and selective nonlocal entropic responses to ATP binding/perturbation of K33 from the -helix, activation loop (A-loop), and - H segments in CDK1 which interface with Cyclin-B, substrate, and Cks proteins, respectively. Statistical analysis reveals that while entropic responses of protein segments to active site perturbations are on average correlated with their dynamical changes, such correlations are lost in about 9%-48% of the dataset depending on the segment. Besides proving the bi-directional communication between the active site and the CDK1:Cyclin-B interface, our study uncovers a hitherto unknown mode of ATP binding regulation by multiple PPI interfaces in CDK1.

Exploring Fecal Microbiota Transplantation for Modulating Inflammation in Parkinson's Disease: A Review of Inflammatory Markers and Potential Effects.

Parkinson's disease (PD) is a complex neurodegenerative disorder characterized by numerous motor and non-motor symptoms. Recent data highlight a potential interplay between the gut microbiota and the pathophysiology of PD. The degeneration of dopaminergic neurons in PD leads to motor symptoms (tremor, rigidity, and bradykinesia), with antecedent gastrointestinal manifestations, most notably constipation. Consequently, the gut emerges as a plausible modulator in the neurodegenerative progression of PD. Key molecular changes in PD are discussed in the context of the gut-brain axis. Evidence suggests that the alterations in the gut microbiota composition may contribute to gastroenteric inflammation and influence PD symptoms. Disturbances in the levels of inflammatory markers, including tumor necrosis factor-α (TNF α), interleukin -1β (IL-1β), and interleukin-6 (IL-6), have been observed in PD patients. These implicate the involvement of systemic inflammation in disease pathology. Fecal microbiota transplantation emerges as a potential therapeutic strategy for PD. It may mitigate inflammation by restoring gut homeostasis. Preclinical studies in animal models and initial clinical trials have shown promising results. Overall, understanding the interplay between inflammation, the gut microbiota, and PD pathology provides valuable insights into potential therapeutic interventions. This review presents recent data about the bidirectional communication between the gut microbiome and the brain in PD, specifically focusing on the involvement of inflammatory biomarkers.

Unveiling intrusions: explainable SVM approaches for addressing encrypted Wi-Fi traffic in UAV networks

AbstractUnmanned aerial vehicles (UAVs), also known as drones, have become instrumental in various domains, including agriculture, geographic information systems, media, logistics, security, and defense. These UAVs often rely on wireless communication networks for data transmission, making them vulnerable to cyberattacks. To address these challenges, it is necessary to detect potential threats by analyzing the encrypted Wi-Fi traffic data generated by UAVs. This study aimed to develop a linear SVM model that is enhanced with explainable artificial intelligence (XAI) techniques and fine-tuned using Bayesian optimization for intrusion detection systems (IDSs); the model is specifically designed to identify malware threats targeting UAVs. This research utilized encrypted Wi-Fi traffic data derived from three different UAV networks, namely, Parrot Bebop 1, DBPower UDI, and DJI Spark, while considering unidirectional and bidirectional communication flow modes. SVM-based intrusion detection models have been modeled on these datasets, identified their key features using the local interpretable model-agnostic explanations (LIME) technique, and conducted a cost analysis of the proposed modeling approach. The incorporation of the LIME method enabled to highlight the features that are highly indicative of cyberattacks and provided valuable insights into the importance of each feature in the context of intrusion detection. In conclusion, this interpretable IDS model, fine-tuned with Bayesian optimization, demonstrated its superiority over the state-of-the-art methods, proving its efficacy in detecting and mitigating threats to UAVs while offering a cost-effective solution.

Analysis of Real-time Processing Approaches for Large Data Volumes in Metering Infrastructure

Smart grid systems and communication technologies, such as Advanced Metering Infrastructure (AMI), have revolutionized utility service management and monitoring. AMI leverages smart meters equipped with advanced communication capabilities, facilitating bidirectional communication between utilities and consumers. The increasing deployment of smart meters and the adoption of sub-hourly data collection requirements by utility companies highlight significant data volume growth. Thus, there is a need for efficient real-time data processing solutions as existing approaches may not meet previously established Service-Level Agreements (SLAs) concerning performance, accuracy, and scalability metrics. This research aims to comprehensively review the latest publications relevant to distributed real-time data processing methods for smart grid applications and outline problems for further research. Specifically, the study delves into the effectiveness and application of reviewed approaches in managing the constant stream of data from smart meters and IoT devices within the smart grid context. By analysing existing methodologies and advancements, this study seeks to identify challenges and opportunities in real-time data processing for smart grid infrastructures, focusing on addressing the complexities of processing, managing, and storing large volumes of real-time data. The literature review revealed two primary applications of real-time data processing: optimization of data streaming performance and data analysis. The review encompasses various studies, each presenting distinct methodologies and technologies applied to address the challenges of processing large volumes of real- time data from smart meters and IoT devices. Future research should address the challenges and limitations discovered in this study.