Title :
A Moving Control Strategy for Efficient Data Collection in Mobile Sensor Networks
Author :
Wen, Jian ; Xiong, Liqiong ; Deng, Mingxing ; Yu, Min
Author_Institution :
Dept. of Comput. Inf. & Eng., Jiangxi Normal Univ., Nanchang
Abstract :
Using controlled mobile elements is a promising approach to collect data from sensor nodes. It is very important to calculate a number of near-optimal routes for the fusion nodes that incrementally collect the data. Based on the multi-tier mobile network model, a new moving control strategy is proposed. This method first divides the monitoring field into several sub-regions so that fusion nodes can collect data in their own parts respectively. Then fusion nodes use constraints-based mobile localization (CML) algorithm to calculate the location information of each sensor node. Finally a new maximum likelihood nearest neighbor (MLNN) algorithm is proposed to design optimal routes for fusion nodes. Simulation results show that the moving control strategy suits extremely in the large-scale wireless sensor network and provides a good solution of the problem on tiered mobile network of instable communication and high-fraction of event loss.
Keywords :
maximum likelihood estimation; mobile radio; sensor fusion; telecommunication congestion control; wireless sensor networks; constraints-based mobile localization algorithm; efficient data collection; fusion nodes; large-scale wireless sensor network; maximum likelihood nearest neighbor algorithm; mobile sensor networks; moving control strategy; multitier mobile network model; sensor nodes; Algorithm design and analysis; Communication system control; Computational modeling; Computer networks; Discrete event simulation; Mobile computing; Monitoring; Nearest neighbor searches; Sensor fusion; Wireless sensor networks; mobile localization; moving control strategy; multi-tier mobile sensor networks; optimal route designment;
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
DOI :
10.1109/ETCS.2009.537