Ad hoc networking
Challenges for efficient communication in underwater acoustic sensor networks
ACM SIGBED Review - Special issue on embedded sensor networks and wireless computing
Information theory and radar waveform design
IEEE Transactions on Information Theory
Optimal waveform selection for tracking systems
IEEE Transactions on Information Theory
Adaptive clustering for mobile wireless networks
IEEE Journal on Selected Areas in Communications
Scalable routing strategies for ad hoc wireless networks
IEEE Journal on Selected Areas in Communications
A access-based clustering protocol for multihop wireless ad hoc networks
IEEE Journal on Selected Areas in Communications
A Statistical Model for Indoor Multipath Propagation
IEEE Journal on Selected Areas in Communications
Fuzzy c-means clustering based robust and blind noncoherent receivers for underwater sensor networks
WASA'10 Proceedings of the 5th international conference on Wireless algorithms, systems, and applications
| Hi-index | 0.00 |
Underwater acoustic sensor network consists of a variable number of sensors and vehicles that are deployed to perform collaborative monitoring tasks over a given area. Scalability concern suggests a hierarchical organization of underwater sensor networks with the lowest level in the hierarchy being a cluster. In this paper, we show that an ultra-wide band (UWB) channel can be used for underwater channel modeling and propose a maximum-likelihood (ML) estimation algorithm for underwater target size detection using collaborative signal processing within a cluster in underwater acoustic sensor networks. Theoretical analysis demonstrates that our underwater sensor network can tremendously reduce the variance of target size estimation. We show that our ML estimator is unbiased and the variance of parameter estimation matches the Cramer-Rao lower bound. Simulations further validate these theoretical results.