Abstract

The importance of body area sensor networks (BASNs) is increasing day by day because of their increasing use in Internet of things (IoT)-enabled healthcare application services. They help humans in improving their quality of life by continuously monitoring various vital signs through biosensors strategically placed on the human body. However, BASNs face serious challenges, in terms of the short life span of their batteries and unreliable data transmission, because of the highly unstable and unpredictable channel conditions of tiny biosensors located on the human body. These factors may result in poor data gathering quality in BASNs. Therefore, a more reliable data transmission mechanism is greatly needed in order to gather quality data in BASN-based healthcare applications. Therefore, this study proposes a novel, multiobjective, lion mating optimization inspired routing protocol, called self-organizing multiobjective routing protocol (SARP), for BASN-based IoT healthcare applications. The proposed routing scheme significantly reduces local search problems and finds the best dynamic cluster-based routing solutions between the source and destination in BASNs. Thus, it significantly improves the overall packet delivery rate, residual energy, and throughput with reduced latency and packet error rates in BASNs. Extensive simulation results validate the performance of our proposed SARP scheme against the existing routing protocols in terms of the packet delivery ratio, latency, packet error rate, throughput, and energy efficiency for BASN-based health monitoring applications.

Highlights

  • The ratio of the aged population is increasing globally

  • The continuous packet transmission of vital signs consumes a high level of energy for the biosensors and, must be minimized in order to increase the lifespan of body area sensor networks (BASNs)

  • Biosensorsface facesevere severeissues, issues,such suchasasunreliable unreliabledata datatransmission transmissionand andshort shortlife lifespans, spans,because because ofofpoor communication efficiency caused by the complexity of the body tissues and unpredictable poor communication efficiency caused by the complexity of the body tissues and unpredictable body bodymovements movementsininBASNs

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Summary

Introduction

The ratio of the aged population is increasing globally. Aged persons are at higher risk of diseases. In BASNs, each biosensor consists of a sensing unit, power unit, communication unit, storage unit, and a processing unit These tiny medical sensors are located on the surface of, or implanted inside, the human body to monitor the health status, and they send the captured bio-signals wirelessly to a data center connected to a back-end medical system that analyses these signals for diagnostic analysis [9]. The gathered data significantly help to be er anticipate risks, manage rescue operations, reduce mistakes, and assist in life-critical operations This health status monitoring system allows fast reactions to health problems for a wide range of populations, regardless of where these people are located.

Existing Studies in BASNs
Challenges and Research Motivations
Network Model and Assumptions
Bio-Inspired
Mapping LMO for BASNs
Updating Neighbors with Recent Information
Dynamic Cluster Formation
Packet Forwarding Over a Set of Optimal Biosensors
Route Repair Procedure
Path Loss and Energy Consumption Models
Performance Analysis
Packet protocol delivery ratio vs number
Findings
Conclusion
Full Text
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