Paper Info
Title
Traffic estimation for MAC protocols in distributed detection wireless sensor networks.
Abstract
A major challenge in designing MAC protocols for wireless sensor networks (WSN) is the uncertainty about the traffic offered by network, which usually forces conservative assumptions leading to a degradation in throughput and delay performance. Traffic estimation is discussed here in the context of the distributed detection WSNs (DD-WSNs). We approach this issue by first showing that the traffic has a Poisson distribution via stochastic geometry tools. Then the traffic is estimated via two algorithms, the least conditional maximum a priori (lcMAP) estimator and the regularized maximum likelihood estimator (rMLE). To measure the correlation between supplied communication resources and needed resources by the WSN, we propose the supply demand ratio (SDR) as a metric. Simulation results shows that both estimators achieve a performance close to the optimal MAP estimator under low channel SNR, hence transmission energy can be saved. Furthermore, the rMLE achieves the optimal SDR via choosing regularization factor value.
Year
Venue
Keywords
2012
EUSIPCO
AWGN channels,Poisson distribution,access protocols,correlation methods,delays,maximum likelihood estimation,stochastic processes,telecommunication traffic,wireless sensor networks,DD-WSN,MAC protocols,Poisson distribution,SDR,WSN,channel SNR,communication resources,correlation measure,delay performance degradation,distributed detection WSN,lcMAP estimator,least conditional maximum a priori estimator,optimal MAP estimator,rMLE,regularization factor value,regularized maximum likelihood estimator,stochastic geometry tools,supply demand ratio,throughput performance degradation,traffic estimation,transmission energy saving,wireless sensor networks,Traffic estimation,distributed detection,stochastic geometry,wireless sensor networks
Field
DocType
ISSN
Stochastic geometry,Computer science,A priori and a posteriori,Stochastic process,Communication channel,Real-time computing,Poisson distribution,Throughput,Statistics,Wireless sensor network,Estimator
Conference
2076-1465
Citations 
PageRank 
References 
0
0.34
10
Authors
2
Name
Order
Citations
PageRank
Sami Aldalahmeh1223.85
Mounir Ghogho21072113.80