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Energy-balanced multiple-sensor collaborative scheduling for maneuvering target tracking in wireless sensor networks
| Content Provider | Semantic Scholar |
|---|---|
| Author | Liu, Yonggui Bugong, Xu Feng, Linfang |
| Copyright Year | 2011 |
| Abstract | An energy-balanced multiple-sensor collaborative scheduling is proposed for maneuvering target tracking in wireless sensor networks (WSNs). According to the position of the maneuvering target, some sensor nodes in WSNs are awakened to form a sensor cluster for target tracking collaboratively. In the cluster, the cluster head node is selected to implement tracking task with changed sampling interval. The distributed interactive multiple model (IMM) filter is employed to estimate the target state. The estimation accuracy is improved by collaboration and measurement information fusion of the tasking nodes. The balanced distribution model of energy in WSNs is constructed to prolong the lifetime of the whole network. In addition, the communication energy and computation resource are saved by adaptively changed sampling intervals, and the real-time performance is satisfactory. The simulation results show that the estimation accuracy of the proposed scheme is improved compared with the nearest sensor scheduling scheme (NSSS) and adaptive sensor scheduling scheme (ASSS). Under satisfactory estimation accuracy, it has better performance in saving energy and energy balance than the dynamic collaborative scheduling scheme (DCSS). |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://pdfs.semanticscholar.org/b3fa/747441ca4ca34288be98cf46dd605b4ef7cf.pdf |
| Alternate Webpage(s) | http://www.researchgate.net/profile/Yonggui_Liu/publication/225808803_Energy-balanced_multiple-sensor_collaborative_scheduling_for_maneuvering_target_tracking_in_wireless_sensor_networks/links/53d36b920cf220632f3ccddc.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Calendaring software Computation Computer cluster Dungeon Crawl Stone Soup Elegant degradation Kalman filter Neuronal Calcium-Sensor Proteins Node - plant part Particle filter Photon Correlation Spectroscopy Real-time clock Sampling (signal processing) Scheduling (computing) Scheduling - HL7 Publishing Domain Sensor Simulation Temperature:Temp:Pt:Transcutaneous monitor sensor:Qn energy balance |
| Content Type | Text |
| Resource Type | Article |
