Polynomial-time approximation algorithms for the Ising model
SIAM Journal on Computing
An introduction to signal detection and estimation (2nd ed.)
An introduction to signal detection and estimation (2nd ed.)
Directed diffusion: a scalable and robust communication paradigm for sensor networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Gathering correlated data in sensor networks
Proceedings of the 2004 joint workshop on Foundations of mobile computing
TinyDB: an acquisitional query processing system for sensor networks
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
Efficient gathering of correlated data in sensor networks
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Energy-driven detection scheme with guaranteed accuracy
Proceedings of the 5th international conference on Information processing in sensor networks
Network correlated data gathering with explicit communication: NP-completeness and algorithms
IEEE/ACM Transactions on Networking (TON)
Maximizing the functional lifetime of sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Toward Quasiregular Sensor Networks: Topology Control Algorithms for Improved Energy Efficiency
IEEE Transactions on Parallel and Distributed Systems
On the Longest Edge of Gabriel Graphs in Wireless Ad Hoc Networks
IEEE Transactions on Parallel and Distributed Systems
Avoiding Energy Holes in Wireless Sensor Networks with Nonuniform Node Distribution
IEEE Transactions on Parallel and Distributed Systems
Detection of Gauss-Markov random fields with nearest-neighbor dependency
IEEE Transactions on Information Theory
Detection error exponent for spatially dependent samples in random networks
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
Optimal Node Density for Detection in Energy-Constrained Random Networks
IEEE Transactions on Signal Processing - Part II
Sensor Configuration and Activation for Field Detection in Large Sensor Arrays
IEEE Transactions on Signal Processing
Error Exponents for the Detection of Gauss–Markov Signals Using Randomly Spaced Sensors
IEEE Transactions on Signal Processing - Part I
Energy concerns in wireless networks
IEEE Wireless Communications
The capacity of wireless networks
IEEE Transactions on Information Theory
How Dense Should a Sensor Network Be for Detection With Correlated Observations?
IEEE Transactions on Information Theory
Toward a theory of in-network computation in wireless sensor networks
IEEE Communications Magazine
Computing and communicating functions over sensor networks
IEEE Journal on Selected Areas in Communications
Energy efficiency of large-scale wireless networks: proactive versus reactive networking
IEEE Journal on Selected Areas in Communications
Cooperative routing for distributed detection in large sensor networks
IEEE Journal on Selected Areas in Communications
Reliable and energy efficient cooperative detection in wireless sensor networks
Computer Communications
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The energy scaling laws of multihop data fusion networks for distributed inference are considered. The fusion network consists of randomly located sensors distributed i.i.d. according to a general spatial distribution in an expanding region. Under Markov random field (MRF) hypotheses, among the class of data-fusion policies which enable optimal statistical inference at the fusion center using all the sensor measurements, the policy with the minimum average energy consumption is bounded below by the average energy of fusion along the minimum spanning tree, and above by a suboptimal policy, referred to as Data Fusion for Markov Random Fields (DFMRF). Scaling laws are derived for the energy consumption of the optimal and suboptimal fusion policies. It is shown that the average asymptotic energy of the DFMRF scheme is strictly finite for a class of MRF models with Euclidean stabilizing dependency graphs.