DocumentCode :
2725816
Title :
Transmission Control Policy design for decentralized detection in sensor networks
Author :
Tantawy, Ashraf ; Koutsoukos, Xenofon ; Biswas, Gautam
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Vanderbilt Univ., Nashville, TN, USA
fYear :
2011
fDate :
27-29 June 2011
Firstpage :
1
Lastpage :
10
Abstract :
A Wireless Sensor Network (WSN) deployed for detection applications has the distinguishing feature that sensors cooperate to perform the detection task. Therefore, the decoupled design approach typically used to design communication networks, where each network layer is designed independently, does not lead to the desired optimal detection performance. Recent work on decentralized detection has addressed the design of MAC and routing protocols for detection applications by considering independently the Quality of Information (QoI), Channel State Information (CSI), and Residual Energy Information (REI) for each sensor. However, little attention has been given to integrate the three quality measures (QoI, CSI, REI) in the complete system design. In this work, we pursue a cross-layer approach to design a QoI, CSI, and REI-aware Transmission Control Policy (TCP) that coordinates communication between local sensors and the fusion center, in order to maximize the detection performance. We formulate and solve a constrained nonlinear optimization problem to find the optimal TCP design variables. We compare our design with the decoupled approach, where each layer is designed separately, in terms of the delay for detection and WSN lifetime.
Keywords :
access protocols; nonlinear programming; routing protocols; wireless sensor networks; MAC; channel state information; communication networks; constrained nonlinear optimization; decentralized detection; decoupled design; optimal detection performance; quality measures; quality of information; residual energy information; routing protocols; transmission control policy design; wireless sensor network; Channel models; Delay; Media Access Protocol; Optimization; Wireless communication; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Computing in Sensor Systems and Workshops (DCOSS), 2011 International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4577-0512-0
Electronic_ISBN :
978-1-4577-0511-3
Type :
conf
DOI :
10.1109/DCOSS.2011.5982139
Filename :
5982139
Link To Document :
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