Communication and sensing trade-offs in decentralized mobile sensor networks: a cross-layer design approach

Authors:
Yasamin Mostofi;Timothy H. Chung;Richard M. Murray;Joel W. Burdick
Affiliations:
California Institute of Technology, Pasadena, CA;California Institute of Technology, Pasadena, CA;California Institute of Technology, Pasadena, CA;California Institute of Technology, Pasadena, CA
Venue:
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Year:
2005

Citing 2
Cited 4

Fundamentals of statistical signal processing: estimation theory

Fundamentals of statistical signal processing: estimation theory
Microwave Mobile Communications

Microwave Mobile Communications

Information-theoretic integration of sensing and communication for active robot networks

Proceedings of the 1st international conference on Robot communication and coordination
Decentralized Communication-Aware Motion Planning in Mobile Networks: An Information-Gain Approach

Journal of Intelligent and Robotic Systems
Communication-aware navigation functions for cooperative target tracking

ACC'09 Proceedings of the 2009 conference on American Control Conference
Information-Theoretic Integration of Sensing and Communication for Active Robot Networks

Mobile Networks and Applications

Quantified Score

Hi-index	0.01

Visualization

Abstract

In this paper we characterize the impact of imperfect communication on the performance of a decentralized mobile sensor network. We first examine and demonstrate the trade-offs between communication and sensing objectives, by determining the optimal sensor configurations when introducing imperfect communication. We further illustrate the performance degradation caused by non-ideal communication links in a decentralized mobile sensor network. To address this, we propose a decentralized motion-planning algorithm that considers communication effects. The algorithm is a cross-layer design based on the proper interface of physical and application layers. Simulation results will show the performance improvement attained by utilizing this algorithm.