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Content Provider | IEEE Xplore Digital Library |
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Author | Shuai Gao Hongke Zhang Tianfei Song Ying Wang |
Copyright Year | 2010 |
Abstract | Recent work shows that sink mobility along a constrained path can improve the energy efficiency in wireless sensor networks. However, due to the path constraint, a mobile sink with constant speed has limited communication time to collect data from the sensor nodes deployed randomly. This poses significant challenges in simultaneously improving the amount of data collected and prolonging network lifetime. To address this issue, we propose a optimal assignment of sensor nodes and routing solution, that maximize the network lifetime under the condition of maximizing the network throughput. Simulation experiments using OMNET++ show that our proposed scheme outperforms SPT and MASP in terms of total amount of data and network lifetime respectively. |
Starting Page | 298 |
Ending Page | 302 |
File Size | 180917 |
Page Count | 5 |
File Format | |
ISBN | 9781424463275 |
e-ISBN | 9781424463282 |
DOI | 10.1109/CMC.2010.219 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-04-12 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Energy consumption Buffer storage Mobile Sink Path-constrained Throughput Mobile communication Routing Wireless Sensor Networks Wireless sensor networks Integer linear programming Network Lifetime Energy efficiency Mobile computing Monitoring |
Content Type | Text |
Resource Type | Article |
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