Sensing the channel: sensor networks with shared sensing and communications

Authors:
Satish Vedantam;Urbashi Mitra;Ashutosh Sabharwal
Affiliations:
University of Southern California, Los Angeles, CA;University of Southern California, Los Angeles, CA;Rice Univeristy, Houston, TX
Venue:
Proceedings of the 5th international conference on Information processing in sensor networks
Year:
2006

Citing 8
Cited 2

Elements of information theory

Elements of information theory
Power-bandwidth-distortion scaling laws for sensor networks

Proceedings of the 3rd international symposium on Information processing in sensor networks
Unitary space-time modulation for multiple-antenna communications in Rayleigh flat fading

IEEE Transactions on Information Theory
Communication on the Grassmann manifold: a geometric approach to the noncoherent multiple-antenna channel

IEEE Transactions on Information Theory
Cooperative diversity in wireless networks: Efficient protocols and outage behavior

IEEE Transactions on Information Theory
Channel capacity and state estimation for state-dependent Gaussian channels

IEEE Transactions on Information Theory
Estimating inhomogeneous fields using wireless sensor networks

IEEE Journal on Selected Areas in Communications
Power, spatio-temporal bandwidth, and distortion in large sensor networks

IEEE Journal on Selected Areas in Communications

Rendered path: range-free localization in anisotropic sensor networks with holes

Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Asymptotic distortion exponents for the estimation of time-varying channels in multihop sensor networks

ACM Transactions on Sensor Networks (TOSN)

Quantified Score

Hi-index	0.00

Visualization

Abstract

A new class of abstract sensor networks is introduced and analyzed. The object of the sensing is the inter-node channel. Examples of systems which seek to sense the channel include: underwater sonar, radar and optics based atmospheric sensor networks. In these networks, the sensing and communication tasks share the bandwidth resource in addition to the sharing of power resources as has been conventionally studied in the sensor network framework. Bounds on distortion tradeoffs are developed for various protocols, such as source coding analogues of decode-and-forward and amplify-and-forward and simple topologies such as two-hop networks (three node system).