An Improved Mobility Aware Relaying Scheme for Body Area Networks

Michaelides, Costas; Iloridou, Maria; Pavlidou, Fotini‐Niovi

doi:10.36227/techrxiv.12141012.v1

Cited by 1 publication

(1 citation statement)

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“…They consider the motion and position of biosensors in running activity. In Michaelides et al, 18 an improved mobility‐aware relaying scheme is proposed to improve the packet delivery in WBANs. The proposed scheme uses an emergency phase after the regular random access phase of the superframe.…”

Section: Related Workmentioning

confidence: 99%

Relay selection, clustering, and data aggregation routing in wireless body area networks

Ziaei

Avokh

2021

Int J Communication

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This paper addresses the problems of relay selection, clustering, and routing to extend the lifetime of wireless body area networks. We first propose an efficient algorithm called "Energy-aware Relay Selection and Cluster-based Routing (ERSCR)" to develop a hybrid data aggregation tree in the network. ERSCR has three phases, including the relay selection, clustering and Cluster Head (CH) selection, and data transmission. It divides the biosensors into several clusters and selects an appropriate CH for each cluster. Each biosensor transmits data to its CH or relay node. The aggregated data are then routed to the sink through an energy-balanced routing tree. The proposed scheme considers both residual energy and distance for routing data of biosensors. It not only reduces the energy consumption in the network but also balances the energy consumed by different biosensors. Subsequently, we improve the ERSCR algorithm and introduce the "Joint Relay Selection, Clustering, and Routing (JRSCR)" algorithm to achieve a better network performance. JRSCR benefits from the advantages of the ERSCR algorithm. Moreover, it reduces the number of transmissions with the direct use of the relay nodes as CH. As another advantage, both ERSCR and JRSCR algorithms are compatible with the natural physical states of the human body. Simulation results demonstrate the efficiency of the proposed algorithms in terms of energy consumption, network lifetime, and maximum hop count.

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Section: Related Workmentioning

confidence: 99%