Designing insistence-aware medium access control protocol and energy conscious routing in quality-of-service-guaranteed wireless body area network

Abdullahi Ibrahim Abdu,Oguz Bayat,Osman Nur Ucan

doi:10.1177/1550147718815843

Abdullahi Ibrahim Abdu, Oguz Bayat + Show 1 more

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https://doi.org/10.1177/1550147718815843

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Abstract

Wireless body area network is a type of wireless sensor network that enables efficient healthcare system. To minimize frequent sensor replacement due to resource restrictions, it is necessary to improve energy efficiency in wireless body area network. This article deals with energy efficiency and quality-of-service improvement together in novel wireless body area network architecture. A novel wireless body area network architecture is designed with dual sink nodes in order to minimize delay and energy consumption. A novel insistence-aware medium access control protocol which is aware of criticality of sensed data is presented in the proposed wireless body area network. Prior knowledge-based weighted routing algorithm is responsible to select optimal route for data transmission. In prior knowledge-based weighted routing, weight value is computed by considering significant metrics such as residual energy, link stability, distance, and delay in order to improve energy efficiency and quality of service in the network. Energy consumption is further minimized by incorporating graph-based sleep scheduling algorithm. In graph-based sleep scheduling, criticality of sensor node is also considered as major metric. In coordinator, split and map–based neural network classifier is involved to perform packet classification. After classification, packets are assigned to corresponding sink node according to packet type. Then, throughput and delay metrics are improved by frame aggregation process which is involved in sink node. Extensive simulation in OMNeT++ shows better performance in network lifetime, throughput, residual energy, dropped packets, and delay.

Highlights

Wireless body area network (WBAN) is a typical sensor network which is specially designed for healthcare system.[1,2,3] In WBAN, number of sensors, referred as biosensors or body sensors, are deployed inside or over the human body in order to collect biomedical data
prior knowledge-based weighted routing (PWR) algorithm uses weight value which is computed with multiple significant metrics along with past experiences for optimal route selection
Energy consumption is further minimized by enabling graphbased sleep scheduling (GSS) scheme–based sleep scheduling among body sensor nodes (BSN)

Summary

Introduction

Wireless body area network (WBAN) is a typical sensor network which is specially designed for healthcare system.[1,2,3] In WBAN, number of sensors, referred as biosensors or body sensors, are deployed inside or over the human body in order to collect biomedical data. Large amount of energy is consumed in idle listening and overhearing This problem can be resolved by optimal sleep–wake scheduling performed by optimization algorithms.[14] A channel-aware polling-based MAC (CPMAC) protocol minimizes energy consumption during idle listening by designing optimal sleep–wake up scheduling.[15] Here, channel sate is considered for scheduling, that is, nodes are waked up and transmitted only if the channel is strong enough. Involvement of SMNN classifier is involved in classification and contributes in delay minimization In both SNs, frame aggregation mechanism is incorporated to further improve QoS. Section ‘‘Proposed energy-aware QoS-guaranteed WBAN’’ details the proposed work with novel WBAN architecture and algorithms.

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