Title: Optimising rendezvous-based data collection for target tracking in WSNs with mobile elements

Authors: Jian Zhang; Tianbao Wang; Jian Tang

Addresses: College of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China ' School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 212013, China ' Department of Information, Beijing University of Technology, Beijing, 100124, China

Abstract: Wireless sensor networks (WSNs) have referred to many fields involving target tracking systems, however, energy efficiency issues always suffer bottleneck. In the literature, mobility collector is utilised to prolong the network lifetime, meanwhile, data collection strategies are investigated through combining contributed data and transmitted distances. For contributed data, the quantisation technology plays an important role for energy efficiency. Considering the uncertainty of sensing data from nodes, we proposed distributed algorithm to select cluster members to gather data with mathematical analysis. We formulate an optimisation for target tracking to maximise utilisation of data quality by information matrix. As a result, we proposed rendezvous-based data collection (RDC) algorithm which not only integrates above positive factors to track a target but also maintains WSNs' functions. Furthermore, we analyze two stages for data collection in WSNs. Simulations verify that the proposed schemes achieve energy saving and energy balance for target tracking.

Keywords: WSNs; wireless sensor networks; mobile collectors; rendezvous nodes; fisher information matrix; target tracking.

DOI: 10.1504/IJSNET.2019.101241

International Journal of Sensor Networks, 2019 Vol.30 No.4, pp.218 - 230

Received: 22 Feb 2019
Accepted: 09 Mar 2019

Published online: 29 Jul 2019 *

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