Paper Info
Title
Optimising Rendezvous-Based Data Collection For Target Tracking In Wsns With Mobile Elements
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.
Year
DOI
Venue
2019
10.1504/IJSNET.2019.101241
INTERNATIONAL JOURNAL OF SENSOR NETWORKS
Keywords
Field
DocType
WSNs, wireless sensor networks, mobile collectors, rendezvous nodes, fisher information matrix, target tracking
Data collection,Bottleneck,Data quality,Efficient energy use,Computer science,Tracking system,Distributed algorithm,Rendezvous,Wireless sensor network,Distributed computing
Journal
Volume
Issue
ISSN
30
4
1748-1279
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Jian Zhang17211.83
Tianbao Wang2331.28
Jian Tang3526148.30