Title: Energy-efficient data-gathering rendezvous algorithms with mobile sinks for wireless sensor networks

Authors: Jian Zhang; Jian Tang; Tianbao Wang; Fei Chen

Addresses: Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing 210044, China ' Department of Information, Beijing University of Technology, Beijing 100124, China; State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, 110004, China ' School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China ' School of Digital Media, Jiangnan University, Wuxi 214122, China

Abstract: Energy conservation or energy balance in the process of data gathering has always been a crucial issue for prolonging the lifetime of wireless sensor networks (WSNs), especially on the premise of the introduction of mobile elements to cope with the phenomenon of hot spots or energy holes. In this paper, we propose optimal cluster-based mechanisms by a modified multi-hop layered model for load balancing with multiple mobile sinks for these problems. Furthermore, under the condition of a delay-tolerant application, rendezvous points (RPs) and rendezvous nodes (RNs) are utilised to realise the goal of optimal/suboptimal energy consumption in the sense of energy transmission model through a heuristic algorithm in a geometrical way. To further reduce the consumption of network energy, quantisation technologies are exploited. As a result, we analyse the cluster lifetimes in different situations and achieve balance to save significant energy.

Keywords: WSNs; wireless sensor networks; clustering; rendezvous points; rendezvous nodes; mobile sinks; quantisation.

DOI: 10.1504/IJSNET.2017.083533

International Journal of Sensor Networks, 2017 Vol.23 No.4, pp.248 - 257

Received: 16 Aug 2016
Accepted: 13 Oct 2016
Published online: 09 Apr 2017 *

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