Network-Centric Distributed Signal Processing

Abstract : This project investigates distributed signal processing in the context of sensor enhanced mobile ad hoc networks. The objective of the project is twofold. First, the research aims to create a new framework for Network Centric Signal Processing that facilitates a joint design of communications, networking, and signal processing optimized for specific applications. Second, for sensor networks deployed for detection and estimation, this research develops new multiaccess communication strategies, networking protocols (medium access control and routing), and centralized and decentralized signal detection and estimation algorithms.

[1]  Lang Tong,et al.  The Nose of a Bloodhound: Target Chasing Aided by a Static Sensor Network , 2007, 2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers.

[2]  Ananthram Swami,et al.  Optimal Node Density for Detection in Energy-Constrained Random Networks , 2008, IEEE Transactions on Signal Processing.

[3]  Ananthram Swami,et al.  Detection of Gauss–Markov Random Fields With Nearest-Neighbor Dependency , 2007, IEEE Transactions on Information Theory.

[4]  Lang Tong,et al.  Integrated Mobile and Static Sensing for Target Tracking , 2007, MILCOM 2007 - IEEE Military Communications Conference.

[5]  H. Vincent Poor,et al.  Sensor configuration and activation for field detection in large sensor arrays , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[6]  Lang Tong,et al.  Type-Based Random Access for Distributed Detection Over Multiaccess Fading Channels , 2007, IEEE Transactions on Signal Processing.

[7]  Lang Tong,et al.  On the Error Exponent and the Use of LDPC Codes for Cooperative Sensor Networks With Misinformed Nodes , 2007, IEEE Transactions on Information Theory.

[8]  Ananthram Swami,et al.  Energy scaling laws for distributed inference in random fusion networks , 2008, IEEE Journal on Selected Areas in Communications.

[9]  Ananthram Swami,et al.  Distributed Estimation Via Random Access , 2008, IEEE Transactions on Information Theory.

[10]  Ananthram Swami,et al.  On the maximum throughput of clandestine sensor networking , 2009, MILCOM 2009 - 2009 IEEE Military Communications Conference.

[11]  Lang Tong,et al.  The Byzantine CEO Problem , 2008, 2008 IEEE International Symposium on Information Theory.

[12]  Lang Tong,et al.  The quadratic Gaussian CEO problem with byzantine agents , 2009, 2009 IEEE International Symposium on Information Theory.