DocumentCode :
2564166
Title :
C2AP: Coverage-aware and Connectivity-constrained Actor Positioning in Wireless Sensor and Actor Networks
Author :
Akkaya, K. ; Younis, M.
Author_Institution :
Dept. of Comput. Sci., Southern Illinois Univ. Carbondale, IL
fYear :
2007
fDate :
11-13 April 2007
Firstpage :
281
Lastpage :
288
Abstract :
In addition to the miniaturized sensor nodes, wireless sensor and actor networks (WSANs) employ significantly more capable actor nodes that can perform application specific actions to deal with events detected and reported by the sensors. Since these actions can be taken at any spot within the monitored area, the actors should be carefully placed in order to provide maximal coverage. Moreover, the actors often coordinate among themselves in order to arbitrate tasks and thus inter-actor connectivity is usually a requirement. In this paper, we propose a distributed actor positioning algorithm that maximizes the coverage of actors without violating the connectivity requirement. The approach applies repelling forces between neighboring actors, similar to molecular particles in Physics, in order to spread them in the region. However, the movement of each actor is restricted in order to maintain the connectivity of the inter-actor network. The performance of the approach is validated through simulations.
Keywords :
wireless sensor networks; actor networks; coverage-aware and connectivity-constrained actor positioning; distributed actor positioning algorithm; inter-actor connectivity; wireless sensor networks; Application software; Computer science; Event detection; Extraterrestrial measurements; Fires; Monitoring; Physics; Pollution measurement; Robot sensing systems; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Performance, Computing, and Communications Conference, 2007. IPCCC 2007. IEEE Internationa
Conference_Location :
New Orleans, LA
ISSN :
1097-2641
Print_ISBN :
1-4244-1138-6
Electronic_ISBN :
1097-2641
Type :
conf
DOI :
10.1109/PCCC.2007.358905
Filename :
4197941
Link To Document :
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