A Power Saving Sleep Scheduling based on Transmission Power Control for Wireless Sensor Networks

• Main Authors: Ya-Lan Wu, 吳雅蘭
• Other Authors: 王英宏
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/47602348346111658548

碩士 === 淡江大學 === 資訊工程學系碩士在職專班 === 98 === Wireless sensor networks (WSNs) have become a sensing technology of future. A large number of sensor nodes can be randomly sprayed in an area and support many applications such as tracking the status for a target, monitoring environment and improving public security. The sensor nodes of WSNs can only use limited energy like battery. When the energy has been exhausted, WSNs cannot work anymore. In order to extend the lifetime of WSNs, the management of the sensor''s energy is an important issue. The best way to save energy is to shutdown the power of sensor node directly. The sensor node which the power is shutdown is not belonging to the WSN and cannot do the data transmission and receive anymore. To shutdown the power of sensor node may cause the data loss. So when to turn off the power and when to turn on the power is become vary important. Shutdown the sensor nodes may extend the lifetime of WSNs, but also may cause the high packets loss rate. The Sleep Schedule addressed on “A Power Control Mechanism based on Sleep Scheduling for Wireless Sensor Networks” cannot guarantee that neighbor node has ability to do transmission, because the node may be in sleep. And it may result in data loss. This thesis would use the transmission power control technology to improve this issue and reduce the packets loss rate. In this thesis, use the improved algorithm and the original algorithm to do simulation. The original algorithm can complete 43 rounds and has some data loss. The network without sleep scheduling algorithm can complete 35 rounds and has no data loss. The improved algorithm which is better than the network without sleep scheduling algorithm can complete 40 rounds and has no data loss. As a result, the improved algorithm proposed in this thesis can effectively resolve the data loss problem of the original algorithm.