Name
Abstract | ||
|---|---|---|
This letter is concerned with source localization based on time-difference-of-arrival (TDOA) measurements from spatially separated sensors in a wireless sensor network (WSN). Most of the existing works adopt a centralized sensor pairing strategy, where one sensor node is chosen as the common reference. However, due to the bandwidth and power constraints of multihop WSNs, it is well known that this kind of centralized methods is energy consuming due to the need of single and multihop transmissions of raw measurement data. In this letter, we propose a decentralized in-network sensor pairing method to acquire TDOA measurements for source localization. It is proved that the proposed decentralized in-network sensor pairing method can result in the same Cramer-Rao-Bound (CRB) as the centralized one at a far less communication cost. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/LSP.2013.2237823 | IEEE Signal Process. Lett. |
Keywords | Field | DocType |
decentralized in-network sensor pairing method,time-difference-of-arrival measurements-based source localization,power constraints,multihop transmissions,communication cost,source localization,cramer-rao bound,wireless sensor network,fisher information matrix (fim),tdoa,dominating set,multihop wireless sensor networks,tdoa measurements-based source localization,raw measurement data,measurement systems,energy consumption,centralized sensor pairing strategy,spatially separated sensors,wireless sensor networks,sensor node,single transmissions,sensor pairing,decentralized tdoa sensor pairing,multihop wsn,time-of-arrival estimation,crb,engineering | Sensor node,Key distribution in wireless sensor networks,System of measurement,Computer network,Pairing,Bandwidth (signal processing),Mobile wireless sensor network,Multilateration,Wireless sensor network,Mathematics | Journal |
Volume | Issue | ISSN |
20 | 2 | 1070-9908 |
Citations | PageRank | References |
11 | 0.59 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Meng | 1 | 294 | 30.14 |
| Lihua Xie | 2 | 5686 | 405.63 |
| Wendong Xiao | 3 | 467 | 28.64 |