DocumentCode
3142885
Title
Cross-layer routing for congestion control in wireless sensor networks
Author
Hsu, Yu-Pin ; Feng, Kai-Ten
Author_Institution
Nat. Chiao Tung Univ., Hsinchu
fYear
2008
fDate
22-24 Jan. 2008
Firstpage
783
Lastpage
786
Abstract
Techniques for improving the network congestion have been proposed in different fields. In recent year, the congestion control problems were studied to enhance the routing performance for wireless sensor networks. In this paper, an adaptive NAV-assisted routing (ANAR) algorithm is proposed to improve the network congestion with a cross- layer approach. The NAV vectors obtained from the RTS/CTS packets are utilized for the determination of the channel status around a sensor node. The routing path is selected based on the congestion-free probability along the route for the transmission of data packets. Moreover, the adaptive path- switching scheme further enhances the routing performance of the proposed ANAR algorithm. The effectiveness of the ANAR protocol is illustrated via the simulations. Without consuming excessive power for each sensor node, the ANAR algorithm can achieve better performance comparing with other existing schemes, especially under the scenarios with network congestion.
Keywords
probability; routing protocols; telecommunication congestion control; wireless channels; wireless sensor networks; adaptive NAV-assisted routing protocol; congestion control; congestion-free probability; cross-layer routing; wireless channel; wireless sensor network; Communication system control; Cross layer design; Hardware; Monitoring; Multiaccess communication; Routing protocols; Spread spectrum communication; Switches; Tin; Wireless sensor networks; CSMA/CA scheme; Congestion control; cross-layer design; routing protocol; wireless multihop networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Radio and Wireless Symposium, 2008 IEEE
Conference_Location
Orlando, FL
Print_ISBN
978-1-4244-1462-8
Electronic_ISBN
978-1-4244-1463-5
Type
conf
DOI
10.1109/RWS.2008.4463609
Filename
4463609
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