TY  - BOOK
AU  - Chen,Cailian
AU  - Zhu,Shanying
AU  - Guan,Xinping
AU  - Shen,Xuemin (Sherman).
ED  - SpringerLink (Online service)
TI  - Wireless Sensor Networks: Distributed Consensus Estimation 
T2  - SpringerBriefs in Computer Science,
SN  - 9783319123790
AV  - QA76.76.A65 
U1  - 005.7 23
PY  - 2014///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computer science
KW  - Computer communication systems
KW  - Computer Science
KW  - Information Systems Applications (incl. Internet)
KW  - Computer Communication Networks
N1  - Introduction -- Distributed Consensus Estimation of Wireless Sensor Networks -- Consensus Based Distributed Parameter Estimation with Asymmetric Communications -- Consensus Based Optimal Target Tracking in Relay Assisted Wireless Sensor Networks -- Node Deployment for Distributed Consensus Estimation -- Conclusions and Future Work
N2  - This SpringerBrief evaluates the cooperative effort of sensor nodes to accomplish high-level tasks with sensing, data processing and communication. The metrics of network-wide convergence, unbiasedness, consistency and optimality are discussed through network topology, distributed estimation algorithms and consensus strategy. Systematic analysis reveals that proper deployment of sensor nodes and a small number of low-cost relays (without sensing function) can speed up the information fusion and thus improve the estimation capability of wireless sensor networks (WSNs). This brief also investigates the spatial distribution of sensor nodes and basic scalable estimation algorithms, the consensus-based estimation capability for a class of relay assisted sensor networks with asymmetric communication topology, and the problem of filter design for mobile target tracking over WSNs. From the system perspective, the network topology is closely related to the capability and efficiency of network-wide scalable distributed estimation. Wireless Sensor Networks: Distributed Consensus Estimation is a valuable resource for researchers and professionals working in wireless communications, networks and distributed computing. Advanced-level students studying computer science and electrical engineering will also find the content helpful
UR  - http://dx.doi.org/10.1007/978-3-319-12379-0
ER  -