DocumentCode
1606489
Title
Dynamic Event Coverage in Hybrid Wireless Sensor Networks
Author
Alam, Kh Mahmudul ; Kamruzzaman, Joarder ; Karmakar, Gour ; Murshed, Manzur
Author_Institution
Gippsland Sch. of Inf. Technol., Monash Univ., Churchill, VIC, Australia
fYear
2011
Firstpage
348
Lastpage
353
Abstract
For cost effective deployment and implementation, mobility is introduced in sensor networks to provide dynamic event coverage. A hybrid network of static and mobile nodes, can yield the same desired accuracy and robustness of a static k-coverage detection model with fewer nodes. Since node movement is a costly operation and the movement strategy has to be decided instantly after event occurrence, it is desirable to have a lightweight distributed node selection and movement scheme. In this work, we propose a game theoretic model to provide dynamic event coverage that achieves the desired detection accuracy with significantly fewer number of nodes while balancing the energy consumption due to mobility and keeping the travelling distance minimum. We address and exploit the spatial clustering nature of events to maximize the overall detection performance over the network lifetime.
Keywords
game theory; mobility management (mobile radio); pattern clustering; sensor placement; telecommunication network reliability; wireless sensor networks; dynamic event coverage; energy consumption; game theoretic model; hybrid wireless sensor networks; lightweight distributed node selection; mobile nodes; network lifetime; node movement strategy; spatial clustering; static k-coverage detection model; Event detection; Games; Indexes; Mobile communication; Mobile computing; Robot sensing systems; Dynamic coverage; Event detection; Game theory; Mobility; WSN;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Computing and Applications (NCA), 2011 10th IEEE International Symposium on
Conference_Location
Cambridge, MA
Print_ISBN
978-1-4577-1052-0
Electronic_ISBN
978-0-7695-4489-2
Type
conf
DOI
10.1109/NCA.2011.62
Filename
6038631
Link To Document