Please use this identifier to cite or link to this item: https://doi.org/10.1007/11669463_20
Title: Sift: A MAC protocol for event-driven wireless sensor networks
Authors: Jamieson, K.
Balakrishnan, H.
Tay, Y.C. 
Issue Date: 2006
Citation: Jamieson, K.,Balakrishnan, H.,Tay, Y.C. (2006). Sift: A MAC protocol for event-driven wireless sensor networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3868 LNCS : 260-275. ScholarBank@NUS Repository. https://doi.org/10.1007/11669463_20
Abstract: Nodes in sensor networks often encounter spatially-correlated contention, where multiple nodes in the same neighborhood all sense an event they need to transmit information about. Furthermore, in many sensor network applications, it is sufficient if a subset of the nodes that observe the same event report it. We show that traditional carrier-sense multiple access (CSMA) protocols for sensor networks do not handle the first constraint adequately, and do not take advantage of the second property, leading to degraded latency as the network scales in size. We present Sift, a medium access control (MAC) protocol for wireless sensor networks designed with the above observations in mind. We show using simulations that as the size of the sensor network scales up to 500 nodes, Sift can offer up to a 7-fold latency reduction compared to other protocols, while maintaining competitive throughput. © Springer-Verlag Berlin Heidelberg 2006.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/104626
ISBN: 3540321586
ISSN: 03029743
DOI: 10.1007/11669463_20
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

114
checked on Oct 12, 2019

Page view(s)

78
checked on Oct 12, 2019

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.