Title: Quality of service control in proactive wireless sensor networks via lifetime planning

Authors: Peilin Zhang; Mohamed Abdelaal; Oliver Theel

Addresses: System Software and Distributed Systems, Carl von Ossietzky University of Oldenburg, 26129, Germany ' System Software and Distributed Systems, Carl von Ossietzky University of Oldenburg, 26129, Germany ' System Software and Distributed Systems, Carl von Ossietzky University of Oldenburg, 26129, Germany

Abstract: Successful exploitation of wireless sensor networks (WSNs) depends intuitively on the enabling technologies as well as the provision of application-level quality of service (QoS). Current research mostly focuses on maximising the network lifetime without considering the predefined task time. In this paper, we firstly provide a survey of QoS control approaches for WSNs. Subsequently, we propose a novel QoS control method, referred to as lifetime planning. Based on the design-time knowledge, lifetime planning provides users/applications with best-effort QoS, while meeting the required time to complete the assigned task. To this end, an 'upper' and a 'lower' QoS boundary have to be defined for each metric at design-time. During run-time, a self-adaptation framework confines the metrics between these boundaries. We then consider an office monitoring scenario with a cluster-tree topology for performance evaluation. Simulation results in Contiki OS show that lifetime planning tremendously improves the performance while meeting the required lifetime.

Keywords: WSNs; wireless sensor networks; QoS control; survey; energy management; lifetime planning; self-adaptation.

DOI: 10.1504/IJSNET.2018.090486

International Journal of Sensor Networks, 2018 Vol.26 No.4, pp.252 - 268

Received: 11 May 2016
Accepted: 24 Dec 2016
Published online: 19 Mar 2018 *

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