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IM-REAST: An improved reliable, energy aware and stable topology for Wireless Body Bio-Sensor Networks in health-care systems


Article Information

Title: IM-REAST: An improved reliable, energy aware and stable topology for Wireless Body Bio-Sensor Networks in health-care systems

Authors: Rajendra Prasad, Polaiah Bojja

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2019

Volume: 14

Issue: 12

Language: English

Categories

Abstract

Rising medical expenses and increased life expectation impose big issues for proper health care and monitoring. Wireless Body Bio-Sensor Networks (WBBSNs), a set of tiny bio-sensor nodes attached within, on and/or around the patient body, were placed to meet this requirement. Due to patient body postural change, ultra short range radio links and random RF attenuation lead to on-body topology disconnections occur, which results more energy consumption and network lifetime is reduced. To address these issues we proposed, an IMproved Reliable, Energy Aware and Stable Topology (IM-REAST) protocol to maximize network stability period and minimize energy consumed by bio-sensor nodes on-body topology for WBBSNs. This algorithm applies the mixed mode communication between bio-senor nodes and the sink, which employs a new forwarder function for selection of forwarder node. This mixed mode communication reduces the energy consumption of the network and maximizes the network lifetime. This paper provides a comparison of three of the routing protocols, SIMPLE, ATTEMPT and proposed. The comparison is performed at the 2.4 GHz frequency (IEEE 802.15.4) on- body bio-sensor set-up. The proposed protocol performances are compared in terms of stability of network, residual energy, packet received at sink and path loss and simulation results shows that performance of overall network is improved by 25% as compared with SIMPLE and ATTEMPT protocols.


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