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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jin Wang Yue Yin Jianwei Zhang Sungyoung Lee Sherratt, R.S. |
| Copyright Year | 1975 |
| Abstract | With the fast development of the Internet, wireless communications and semiconductor devices, home networking has received significant attention. Consumer products can collect and transmit various types of data in the home environment. Typical consumer sensors are often equipped with tiny, irreplaceable batteries and it therefore of the utmost importance to design energy efficient algorithms to prolong the home network lifetime and reduce devices going to landfill. Sink mobility is an important technique to improve home network performance including energy consumption, lifetime and end-to-end delay. Also, it can largely mitigate the hot spots near the sink node. The selection of optimal moving trajectory for sink node(s) is an NP-hard problem jointly optimizing routing algorithms with the mobile sink moving strategy is a significant and challenging research issue. The influence of multiple static sink nodes on energy consumption under different scale networks is first studied and an Energy-efficient Multi-sink Clustering Algorithm (EMCA) is proposed and tested. Then, the influence of mobile sink velocity, position and number on network performance is studied and a Mobile-sink based Energy-efficient Clustering Algorithm (MECA) is proposed. Simulation results validate the performance of the proposed two algorithms which can be deployed in a consumer home network environment1. |
| Sponsorship | IEEE Consumer Electronics Society |
| Starting Page | 77 |
| Ending Page | 84 |
| Page Count | 8 |
| File Size | 746789 |
| File Format | |
| ISSN | 00983063 |
| Volume Number | 59 |
| Issue Number | 1 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sensors Mobile communication Energy consumption Clustering algorithms Home automation Energy efficiency Wireless sensor networks Network Lifetime Wireless Sensor Networks Sink Mobility Clustering Energy Consumption |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Media Technology |
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