DocumentCode :
3092029
Title :
A bit-map-assisted energy-efficient MAC scheme for wireless sensor networks
Author :
Li, Jing ; Lazarou, Georgios Y.
Author_Institution :
Dept. of Electr. & Comput. Eng., Mississippi State Univ., MS, USA
fYear :
2004
fDate :
26-27 April 2004
Firstpage :
55
Lastpage :
60
Abstract :
Low-energy characteristics of wireless sensor networks (WSNs) pose a great design challenge for MAC control design. Recent studies have proposed different intra-cluster communication bit-map-assisted (BMA) MAC protocol for large-scale cluster-based WSNs. BMA is intended for event-driven applications, where sensor nodes transmit data to the cluster head only if significant events are observed. In addition, we provide the energy and packet latency analytical models for BMA, conventional TDMA, and energy efficient TDMA (E-TDMA) when used as intra-cluster MAC schemes. Our results show that BMA is superior for the cases of low and medium traffic loads, relatively few sensor nodes per cluster, and relatively large data packet sizes. In addition, BMA performs better than the TDMA-based MAC schemes in terms of average packet latency.
Keywords :
access protocols; distributed algorithms; packet radio networks; target tracking; time division multiple access; wireless sensor networks; MAC control; TDMA-based MAC schemes; analytical models; bit-map-assisted MAC protocol; bit-map-assisted energy-efficient MAC scheme; cluster head; cluster-based WSN; conventional TDMA; data packet sizes; energy efficient TDMA; energy latency; event-driven applications; intra-cluster MAC schemes; intra-cluster communication; large-scale WSN; low traffic loads; low-energy characteristics; medium traffic loads; packet latency; sensor nodes; wireless sensor networks; Analytical models; Control design; Delay; Energy efficiency; Large-scale systems; Media Access Protocol; Sensor phenomena and characterization; Telecommunication traffic; Time division multiple access; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Processing in Sensor Networks, 2004. IPSN 2004. Third International Symposium on
Print_ISBN :
1-58113-846-6
Type :
conf
DOI :
10.1109/IPSN.2004.1307323
Filename :
1307323
Link To Document :
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