Title: Mobility aware and traffic adaptive hybrid MAC protocol for collaborative body sensor networks

Authors: Nadine Boudargham; Jacques Bou Abdo; Jacques Demerjian; Abdallah Makhoul; Christophe Guyeux

Addresses: Faculty of Engineering, Notre Dame University, Deir El Kamar, P.O. Box 72, Lebanon ' Faculty of Natural and Applied Sciences, Notre Dame University, Deir El Kamar, P.O. Box 72, Lebanon ' LaRRIS, Faculty of Sciences, Lebanese University, 90656, Fanar, Lebanon ' FEMTO-ST Institute, UMR 6174 CNRS, Univ. Bourgogne Franche-Comté, Belfort, 90000 Besançon, France ' FEMTO-ST Institute, UMR 6174 CNRS, Univ. Bourgogne Franche-Comté, Belfort, 90000 Besançon, France

Abstract: Collaborative body sensor network (CBSN) is formed of several body sensor networks (BSNs) moving in a given area and able to exchange data between each other. One of the challenges in CBSN is to design a Medium Access Protocol that efficiently supports nodes mobility, and at the same time, guarantees immediate delivery of urgent data, and maintains high energy efficiency during regular observation. In this paper, a hybrid traffic and mobility aware MAC (TMA-MAC) is proposed to satisfy CBSN's traffic requirements through adopting a hybrid DS-CDMA/DTDMA technique, and to support CBSN's nodes mobility through ensuring efficient transmission of intracluster mobile nodes data and proposing a mechanism to handle inter-cluster nodes joining requests. TMA-MAC was compared to other existing protocols under both traffic and mobility variations. Simulations were conducted using OPNET to evaluate TMA-MAC with respect to packet delay, packet drop percentage, and energy consumption.

Keywords: MWSN; mobile wireless sensor network; CBSN; collaborative body sensor network; MAC; medium access control; DTDMA; dynamic time division multiple access; DS-CDMA; direct sequence code division multiple access; mobility; delay; packet drop; energy consumption.

DOI: 10.1504/IJSNET.2020.105565

International Journal of Sensor Networks, 2020 Vol.32 No.3, pp.182 - 196

Received: 14 Sep 2019
Accepted: 31 Oct 2019
Published online: 03 Mar 2020 *

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