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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ping Yang Liu Jing Liang Fei Yang Zhengbo |
| Copyright Year | 2015 |
| Description | Author affiliation: Second Res. Inst. of CAAC, Chengdu, China (Ping Yang; Liu Jing; Liang Fei; Yang Zhengbo) |
| Abstract | Event-driven wireless sensor networks are special networks that just need the sensors which detected the events gathering and sending data through a reasonable routing to the single information processing center called sink node, usually used in monitoring emergency events in many large-scale severe environments. However, the battery energy of sensors are limited and difficult to be charged or replaced, it requires effective network routing protocols in communication and message passing process to extend their lifetime. In this paper, we propose a real-time, weighted clustering routing algorithm to organize the event detected sensors in the event regions into clusters. The algorithm has a full consideration of the sensors' residual energy, distance, event excited intensity and received signal strength during the three parts: choosing cluster-heads, clustering and establishing routing path. Simulation results have demonstrated the effectively routing performance of our algorithm, and its network lifetime is 16% longer than the TEEN algorithm. |
| Starting Page | 96 |
| Ending Page | 99 |
| File Size | 200729 |
| Page Count | 4 |
| File Format | |
| ISSN | 15506525 |
| e-ISBN | 9781467378222 |
| DOI | 10.1109/DS-RT.2015.15 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-10-14 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless sensor networks Clustering algorithms Routing Energy consumption Sensor fusion Algorithm design and analysis Excited intensity Event-driven wireless sensor networks Weighted Clustering algorithm |
| Content Type | Text |
| Resource Type | Article |
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