Authors: Sabri Khssibi; Adrien Van Den Bossche; Thierry Val; Hanen Idoudi; Leila Azouz Saïdane
Addresses: CNRS-IRIT Laboratory, University of Toulouse 2, Blagnac Cedex, France ' CNRS-IRIT Laboratory, University of Toulouse 2, Blagnac Cedex, France ' CNRS-IRIT Laboratory, University of Toulouse 2, Blagnac Cedex, France ' National School of Computer Sciences, University of Manouba, Tunisia ' National School of Computer Sciences, University of Manouba, Tunisia
Abstract: In this paper we study, through theoretical analysis and simulation, the impact of beacon order (BO) and superframe order (SO) parameters of IEEE 802.15.4 on the networks performance and we investigate their optimal values for different classes of traffic. The traffic is dimensioned according to the requirements of the CANet project in which a cane becomes a mean of communication and a surveillance system embedding several sensors to monitor the elderly health and environment(voice, pressure, temperature, etc.). The cane's sensors impose different QoS constraints. Depending on the expected throughput, a sensor's traffic will fall within one of three classes that we defined. Therefore, in order to ease the understanding of our optimisation, we introduce a classification scheme which applies to the existing quality of service algorithms. We derive by theoretical study the optimal values of BO and SO that should be used to fit each traffic class QoS requirements and we validate our results by simulation.
Keywords: wireless sensor networks; WSNs; IEEE 802.15.4; QoS algorithms; quality of service; MAC protocols; medium access control; CANet project; optimisation; simulation; beacon order; superframe order; network performance; communication; remote surveillance; elderly; health monitoring; environmental monitoring; voice sensors; pressure sensors; temperature sensors; remote monitoring; remote healthcare.
International Journal of Information and Communication Technology, 2017 Vol.10 No.2, pp.119 - 135
Received: 17 Dec 2013
Accepted: 08 Oct 2014
Published online: 11 Jan 2017 *