DocumentCode :
2275635
Title :
Modeling Chernoff information loss in cooperative sensor networks
Author :
Chen, Yifan
Author_Institution :
Sch. of Electr. & Electron. Eng., Newcastle Univ., Newcastle upon Tyne, UK
fYear :
2012
fDate :
15-17 Aug. 2012
Firstpage :
763
Lastpage :
768
Abstract :
We investigate the Chernoff information loss (CIL) characteristics in wireless sensor networks (WSNs) as the sensor attempts to send a 1-bit information about the presence or absence of a phenomenon-of-interest (POI) to a remote data sink through either the single-hop (SH) or multi-hop (MH) wireless connectivity. Firstly, we describe the sensing and communication processes by using the cascaded discrete memoryless channels (DMCs), which can be represented as an equivalent sensing channel (ESC). We then define a typical ESC and derive its Chernoff information. Both the decode-and-forward (DF) and amplify-and-forward (AF) protocols are studied. Subsequently, we consider a random-walk formulation of the MH relay path, and derive the relationship between the average distance traveled by a virtual POI-marked photon and the number of hops. Finally, the CIL model can be obtained by applying the preceding results, which provide critical insight into the problems of when and how to relay in WSNs. Eventually, this would lead to context and channel aware sensing and communication in future cognitive sensor networks.
Keywords :
access protocols; amplify and forward communication; cooperative communication; decode and forward communication; wireless sensor networks; Chernoff information loss; MH relay path; amplify-and-forward protocols; cascaded discrete memoryless channels; channel aware sensing; context aware sensing; cooperative sensor networks; decode-and-forward protocols; equivalent sensing channel; multihop wireless connectivity; phenomenon-of-interest; random-walk formulation; remote data sink; single-hop wireless connectivity; virtual POI-marked photon; wireless sensor networks; Monte Carlo methods; Photonics; Relays; Sensors; Signal to noise ratio; Wireless communication; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications in China (ICCC), 2012 1st IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2814-2
Electronic_ISBN :
978-1-4673-2813-5
Type :
conf
DOI :
10.1109/ICCChina.2012.6356986
Filename :
6356986
Link To Document :
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