6533b7d4fe1ef96bd126339e

RESEARCH PRODUCT

Efficient cluster-based routing algorithm for body sensor networks

Jacques Bou AbdoChristophe GuyeuxNadine BoudarghamTalar AtechianJacques Demerjian

subject

Computer scienceDistributed computing010401 analytical chemistryRouting algorithm020206 networking & telecommunications[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]02 engineering and technologyEnergy consumption[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation01 natural sciences0104 chemical sciences[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR][INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]0202 electrical engineering electronic engineering information engineering[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Data delivery[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]MATLABcomputerWireless sensor networkCluster basedcomputer.programming_language

description

International audience; Body Sensor Networks have gained a lot of research interest lately for the variety of applications they can serve. In such networks where nodes might hold critical information about people's lives, designing efficient routing schemes is very important to guarantee data delivery with the lowest delay and energy consumption. Even though some cluster-based routing schemes were proposed in the literature, none of them offer a complete solution that guarantees energy and delay efficient routing in BSN. In this paper, we propose a robust cluster- based algorithm that increases the routing efficiency through every step of the routing process: cluster formation, cluster head election, and routing operation of data to the sink. The proposed algorithm is compared to existing cluster-based schemes, and MATLAB simulations are performed to assess the performance of the proposed algorithm with respect to delay and energy consumption.

https://doi.org/10.1109/menacomm.2018.8371004