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In the realm of healthcare monitors (HMS), the significance of Wireless Body Area Sensor Networks (WBASN) cannot be overstated, as they play a pivotal role in collecting critical physiological data from battery-powered sensor nodes. The challenge lies in achieving a delicate equilibrium between low power consumption and mobility to ensure sustained, continuous, and reliable communication among these nodes. Several factors contribute to increased energy consumption, such as packet replay, protocol collisions, excessive control message sending, idle listening, and suboptimal route selection. To address these challenges, this paper proposes an innovative strategy known as Region-Based Greene Multipath Routing (REMR). The fundamental concept involves the partitioning of the entire sensor array into clusters, each containing multiple Cluster Representatives (CRs). These CRs play a crucial role in routing packets across clusters. The REMR approach conducts a meticulous assessment of the energy requirements for each potential route during the route selection process, favoring the one with the lowest energy consumption. Additionally, the suggested method takes into account factors like enhanced throughput, packet delivery ratio, and end-to-end latency to optimize packet routing. In summary, the REMR method employs an energy-efficient protocol and adaptive scheduling to judiciously segment a sensor network into clusters, thereby selecting the most energy-effective channels. The primary objective is to reduce control overhead, energy usage, packet incidents, and unnecessary idle listening, ultimately enhancing the overall performance of radio-frequency body area sensors utilized in health monitoring systems.
Keywords:
Multipath Routing, Healthcare Monitoring, Wireless Body Area Sensor Networks, Region-Based Greene Multipath Routing (REMR), Cluster Representatives (Crs), Energy Efficiency, RFID Technology, Probabilistic Minimalism, NS3 Simulation, AODV Comparison, Experimental Results, Dependability, Data Transfer, Energy Consumption and Routing Protocol.
Cite Article:
"Multipath Routing for Healthcare Monitoring in Wireless Body Area Sensor Networks", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.b334-b338, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506140.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator