DocumentCode :
3442618
Title :
An Approach of Optimizing Power in WSN with Random Topology under Rayleigh Channels
Author :
Shao-qing Wang ; Jing-nan Nie
Author_Institution :
Inst. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing
fYear :
2008
fDate :
12-14 Oct. 2008
Firstpage :
1
Lastpage :
5
Abstract :
The paper proposes an approach of optimizing transmit power in wireless sensor networks with random topology in order to prolong node lifetime. It defines optimal transmit power as the minimum transmit power used by all nodes necessary to guarantee end-to-end bit error rate (BER) requirement. Assuming Rayleigh fading channels and two- dimensional Poisson topology, we bring nearest with forward progress (NFP) routing strategy and enhanced Aloha protocol into the SINR model. On the basis of the SINR model, we derive the expression of optimal transmit power and investigate the tradeoff among the average lifetime of nodes, transmit power and node density. The numerical results demonstrate that optimal transmit power can try its best to prolong node lifetime in the precondition of guaranteeing end-to-end bit error rate (BER) requirement. Besides, increasing the forwarding angle epsiv can decreases the optimal transmit power.
Keywords :
Rayleigh channels; error statistics; fading channels; telecommunication network topology; wireless sensor networks; 2D Poisson topology; Aloha protocol; Rayleigh channels; Rayleigh fading channels; SINR model; end-to-end bit error rate; minimum transmit power; optimal transmit power; power optimization; random topology; wireless sensor networks; Bit error rate; Energy consumption; Network topology; Power engineering and energy; Power system modeling; Programmable logic arrays; Rayleigh channels; Routing protocols; Signal to noise ratio; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
Type :
conf
DOI :
10.1109/WiCom.2008.969
Filename :
4678877
Link To Document :
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