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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Juejia Zhou Chundi Mu |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Autom., Tsinghua Univ., Beijing (Juejia Zhou; Chundi Mu) |
| Abstract | Wireless sensor networks (WSN) are planted for sensing the area which people mostly concern and to send data of light, pressure, sound, and so on, back to people to make further analyses. Differ from normal lineal networks, WSN are usually restricted by energy store, plethoric information flow, and short communication distance. So, there are many research hotpots in WSN such as routing, economization of energy, adaptive self-configuration, etc. Among these aspects, the area of quality of service (QoS) remains largely open. This is due to that the optimal alive sensor node number is difficult to determine in a certain focused area which satisfies the requirement of QoS. In the paper, under a circumstance of ITS (intelligent transportation systems) application, a modified Gur game strategy based on localized information is given to determine the optimal alive node number in a focused area. In the strategy, all nodes use local information to modify their finite state automaton, and the base station receives the QoS feedback and gives the dynamic density domination information. The simulation results about the band shape density domination are given. The results show that the strategy can effectively control the density of nodes and meet the requirement of QoS even with impediment added |
| Starting Page | 917 |
| Ending Page | 920 |
| File Size | 4687898 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780395867 |
| DOI | 10.1109/ITST.2006.288703 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-06-21 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless sensor networks Base stations State feedback Shape Automata Quality of service Automatic control Routing Intelligent sensors Intelligent transportation systems |
| Content Type | Text |
| Resource Type | Article |
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