DocumentCode
176032
Title
On deployment optimization strategy for hybrid wireless sensor networks
Author
Ying Zhang ; Zhao Wei
Author_Institution
Coll. of Inf. Eng., Shanghai Maritime Univ., Shanghai, China
fYear
2014
fDate
May 31 2014-June 2 2014
Firstpage
1875
Lastpage
1880
Abstract
For a hybrid sensor network constructing with static nodes and mobile nodes, adjusting the position of the mobile nodes can improve network coverage and target detection rate effectively. In this paper, we present the “Bidding” protocol based on probability detection model, and then propose a distributed covering algorithm DPFA (Distributed Potential Field Algorithm) for hybrid wireless sensor network based on artificial potential field. The coverage holes generate a gravitational field, which generates a virtual force to determine the mobile node´s motion paths. Simulation results show that DPFA algorithm significantly increase the effective coverage of the network compared to the “Bidding” protocol.
Keywords
mobile radio; object detection; optimisation; protocols; statistical distributions; wireless sensor networks; DPFA; DPFA algorithm; artificial potential field; bidding protocol; coverage holes; deployment optimization strategy; distributed covering algorithm; distributed potential field algorithm; gravitational field generation; hybrid wireless sensor network coverage; mobile node motion path determination; probability detection model; static mobile node position adjustment; target detection rate; virtual force generation; Force; Mobile nodes; Optimization; Protocols; Wireless sensor networks; Artificial potential field approach; Bidding protocol; Hybrid wireless sensor network; Optimal deployment;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location
Changsha
Print_ISBN
978-1-4799-3707-3
Type
conf
DOI
10.1109/CCDC.2014.6852475
Filename
6852475
Link To Document