Voronoi diagrams—a survey of a fundamental geometric data structure
ACM Computing Surveys (CSUR)
IEEE Transactions on Mobile Computing
Sensor network-based countersniper system
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Countersniper system for urban warfare
ACM Transactions on Sensor Networks (TOSN)
Proceedings of the 5th international conference on Information processing in sensor networks
Multiple simultaneous acoustic source localization in urban terrain
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
An empirical study of collaborative acoustic source localization
Proceedings of the 6th international conference on Information processing in sensor networks
RETOS: resilient, expandable, and threaded operating system for wireless sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
International Journal of Ad Hoc and Ubiquitous Computing
Scalable and low-cost acoustic source localization for wireless sensor networks
UIC'06 Proceedings of the Third international conference on Ubiquitous Intelligence and Computing
| Hi-index | 0.00 |
In sensor networks, acoustic source localization systems sometimes fail to accurately detect simultaneously produced multiple acoustic sources using acoustic sensors. One of the existing algorithms can detect multiple sources, but does not localize the sources when they are generated within one hop distance (±30m) and spread among all nodes. To overcome this limitation, we propose the LMSL (Low-complexity Multiple Simultaneous Acoustic Source Localization) algorithm, which provides high accuracy on localizing multiple sources within one hop range using only common sensor nodes. LMSL takes advantage of lower computational complexity and provides enhanced accuracy. Feasibility tests on Telosb sensor motes show that LMSL can detect up to four simultaneous produced sources.