DocumentCode
793492
Title
Cross-Layer Design of Sequential Detectors in Sensor Networks
Author
Marano, Stefano ; Matta, Vincenzo ; Willett, Peter ; Tong, Lang
Author_Institution
Dept. of Inf. & Electr. Eng., Salerno Univ.
Volume
54
Issue
11
fYear
2006
Firstpage
4105
Lastpage
4117
Abstract
A network of sensors polled by a mobile agent (the SENMA paradigm) is used for detection purposes, with both the remote nodes and the mobile agent implementing Wald´s sequential tests. When polled, each remote node transmits its local decision (if any) to the agent, and two network/agent communication schemes are considered. One of these is designed with specific care to the network´s energy consumption. In both cases, collisions over the common communication channel are precluded by the sequentiality of the sensors´ query. The system performances in terms of average decision time, error probability, and network energy consumption are derived in exact analytical form. A tradeoff exists between the amount and the reliability of the information that the rover may collect: At optimality, the decentralized system overcomes a single supernode by orders of magnitude in terms of decision time, while only 30% of the sensors encountered by the mobile agent spend energy to reveal themselves. The remaining sensors contribute to the detection process by their silence
Keywords
error statistics; mobile agents; telecommunication computing; wireless channels; wireless sensor networks; Wald´s sequential test; communication channel; decentralized system; error probability; mobile agent; sensor networks; sequential detectors; Communication channels; Cross layer design; Detectors; Energy consumption; Error probability; Mobile agents; Mobile communication; Performance analysis; Sequential analysis; Telecommunication network reliability; Cross-layer design; SENMA; Wald´s sequential test; wireless sensor networks;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2006.880254
Filename
1710359
Link To Document