Name
Abstract | ||
|---|---|---|
In the Internet of Things, smart things communicate with each other, and sensed data are aggregated and queried for satisfying certain requests of end-users. Target tracking is a typical and important application of wireless sensor networks. Considering the energy efficiency and the object tracking accuracy, we propose a novel object tracking method based on a pre-defined itinerary. Energy can be reduced due to effectively selecting collaborative node to activate. The tracking accuracy can be improved because the prediction movement range can be confined into adjacent itineraries according to the current position and direction of the tracking object. The number of activated sensors involved in tracking the target will be decreased to save energy and prolong the lifetime of network. Theoretical analysis shows that our technique is energy-efficient and accurate compared with traditional techniques. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/CHINACOM.2014.7054255 | ChinaCom |
Keywords | Field | DocType |
internet of things,object tracking,target tracking,telecommunication network reliability,wireless sensor networks,energy efficiency,itinerary-based method,network lifetime,object tracking method,prediction movement range,smart things,collaboration,mobile communication,sensors | Key distribution in wireless sensor networks,Efficient energy use,Computer science,Visual sensor network,Internet of Things,Computer network,Real-time computing,Video tracking,Wireless sensor network,Mobile telephony | Conference |
Citations | PageRank | References |
1 | 0.35 | 17 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jine Tang | 1 | 59 | 7.49 |
| Zhenhua Wang | 2 | 665 | 71.69 |
| chu du | 3 | 1 | 0.35 |
| Zhangbing Zhou | 4 | 372 | 55.74 |
| Yunchuan Sun | 5 | 534 | 54.06 |