Efficient cluster-based routing algorithm for body sensor networks

Nadine Boudargham (1) , Jacques Abdo (1) , Jacques Demerjian (1) , Christophe Guyeux (2) , Talar Atechian (1)

1 NDU - Notre Dame University
2 FEMTO-ST - Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174)

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.

Domaines: Calcul parallèle, distribué et partagé [cs.DC]; Cryptographie et sécurité [cs.CR]; Technologies Émergeantes [cs.ET]; Génie logiciel [cs.SE]; Informatique ubiquitaire; Système multi-agents [cs.MA]; Modélisation et simulation

Nadine Boudargham, Jacques Abdo, Jacques Demerjian, Christophe Guyeux, Talar Atechian. Efficient cluster-based routing algorithm for body sensor networks. Middle East and North Africa COMMunications Conference, Apr 2018, Jounieh, Lebanon. ⟨hal-01992721⟩