DocumentCode
456193
Title
Connectivity in energy balanced traffic distribution
Author
Wang, Jing ; Howitt, Ivan
Author_Institution
Dept. of Electr. & Comput. Eng., North Carolina Univ., Charlotte, NC
Volume
1
fYear
2006
fDate
3-6 April 2006
Firstpage
379
Lastpage
384
Abstract
For many sensor network applications such as wild fire detection and battlefield surveillance, it is necessary to minimize energy consumption and extend system lifetime by leveraging the redundant deployment of sensor nodes while at the same time provide full sensing coverage and communication connectivity. An energy balanced stochastic based traffic distribution (SBTD) has been introduced in J. Wang and I. Howitt (2005), which has the target to prolong the network´s lifetime. Thus, SBTD can be used to provide efficient communication connectivity in the future routing paradigm. This paper investigates the connectivity of the wireless sensor networks using the SBTD in a log-normal shadowing environment. Our main contributions include: (i) the effective communication coverage of nodes in the network using the SBTD is derived; (ii) the network connectivity and the parameters affecting the network connectivity are discussed and investigated; (iii) and the system accuracy using different values of the optimization parameter is discussed
Keywords
log normal distribution; telecommunication traffic; wireless sensor networks; communication connectivity; energy balanced stochastic based traffic distribution; log-normal shadowing environment; optimization parameter; sensor network applications; Communication effectiveness; Energy consumption; Fires; Routing; Sensor systems and applications; Shadow mapping; Stochastic processes; Surveillance; Telecommunication traffic; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications and Networking Conference, 2006. WCNC 2006. IEEE
Conference_Location
Las Vegas, NV
ISSN
1525-3511
Print_ISBN
1-4244-0269-7
Electronic_ISBN
1525-3511
Type
conf
DOI
10.1109/WCNC.2006.1683494
Filename
1683494
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