An Energy-Saving Geographic Routing Using Virtual Grids in Wireless Sensor Networks
碩士 === 國立臺北科技大學 === 電腦與通訊研究所 === 95 === As the progress of its technology grew up rapidly, the micro-electronic technology and the wireless communication helped promoting the development of low power, low cost and multi-function wireless sensor nodes. Since having limited characteristics of storage,...
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ndltd-TW-095TIT056520142019-06-27T05:10:04Z http://ndltd.ncl.edu.tw/handle/b7dgcd An Energy-Saving Geographic Routing Using Virtual Grids in Wireless Sensor Networks 無線感測網路中使用虛擬網格之節能式地理路由法 Wen-Tsung Chang 張文聰 碩士 國立臺北科技大學 電腦與通訊研究所 95 As the progress of its technology grew up rapidly, the micro-electronic technology and the wireless communication helped promoting the development of low power, low cost and multi-function wireless sensor nodes. Since having limited characteristics of storage, network bandwidth, computing ability, battery power and mass disposition, the issues of sensor networks always focus on how to efficiently reduce the consumption of limited resource while the batteries are used for nodes power energy. Many relative geographic routings present outstanding and efficient performances of energy-saving on nodes, but they only consider and calculate the power consumption in transmitting and receiving packets. However, the power still be consumed while the nodes are in an idle mode and not to transmitter packets. We proposed an energy-saving geographic routing, called ESGR. ESGR based on GPSR (Greedy and Perimeter Stateless Routing), focuses on how to efficiently save node’s resources and maintain the normal operation of sensor networks. ESGR, using the geographic information from Global Positioning System or similar systems, focus virtual grids that divide the sensing areas. ESGR elect some gateway nodes to forward packets between grids and makes other equivalent nodes fall into sleeping state without losing the routing fidelity. This way could reduce the power consumption of nodes. Besides, it does not lead to the problems of network’s scalability and crowdedness of network. We consider ESGR could prolong the lifetime of sensor networks. Since ESGR needs only gateway nodes to forwards packets and make the networks workable. The more density of nodes will save more nodes’ power energy. Finally, the network lifetime, the power consumption of node and the transmission rate of packets are measured by using NS2. A simulation system is built to measure, analysis and compare the routing efficiency between GPSR and ESGR. Chiu-Ching Tuan 段裘慶 2007 學位論文 ; thesis 69 zh-TW |
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碩士 === 國立臺北科技大學 === 電腦與通訊研究所 === 95 === As the progress of its technology grew up rapidly, the micro-electronic technology and the wireless communication helped promoting the development of low power, low cost and multi-function wireless sensor nodes. Since having limited characteristics of storage, network bandwidth, computing ability, battery power and mass disposition, the issues of sensor networks always focus on how to efficiently reduce the consumption of limited resource while the batteries are used for nodes power energy.
Many relative geographic routings present outstanding and efficient performances of energy-saving on nodes, but they only consider and calculate the power consumption in transmitting and receiving packets. However, the power still be consumed while the nodes are in an idle mode and not to transmitter packets. We proposed an energy-saving geographic routing, called ESGR. ESGR based on GPSR (Greedy and Perimeter Stateless Routing), focuses on how to efficiently save node’s resources and maintain the normal operation of sensor networks. ESGR, using the geographic information from Global Positioning System or similar systems, focus virtual grids that divide the sensing areas. ESGR elect some gateway nodes to forward packets between grids and makes other equivalent nodes fall into sleeping state without losing the routing fidelity. This way could reduce the power consumption of nodes. Besides, it does not lead to the problems of network’s scalability and crowdedness of network. We consider ESGR could prolong the lifetime of sensor networks. Since ESGR needs only gateway nodes to forwards packets and make the networks workable. The more density of nodes will save more nodes’ power energy.
Finally, the network lifetime, the power consumption of node and the transmission rate of packets are measured by using NS2. A simulation system is built to measure, analysis and compare the routing efficiency between GPSR and ESGR.
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author2 |
Chiu-Ching Tuan |
author_facet |
Chiu-Ching Tuan Wen-Tsung Chang 張文聰 |
author |
Wen-Tsung Chang 張文聰 |
spellingShingle |
Wen-Tsung Chang 張文聰 An Energy-Saving Geographic Routing Using Virtual Grids in Wireless Sensor Networks |
author_sort |
Wen-Tsung Chang |
title |
An Energy-Saving Geographic Routing Using Virtual Grids in Wireless Sensor Networks |
title_short |
An Energy-Saving Geographic Routing Using Virtual Grids in Wireless Sensor Networks |
title_full |
An Energy-Saving Geographic Routing Using Virtual Grids in Wireless Sensor Networks |
title_fullStr |
An Energy-Saving Geographic Routing Using Virtual Grids in Wireless Sensor Networks |
title_full_unstemmed |
An Energy-Saving Geographic Routing Using Virtual Grids in Wireless Sensor Networks |
title_sort |
energy-saving geographic routing using virtual grids in wireless sensor networks |
publishDate |
2007 |
url |
http://ndltd.ncl.edu.tw/handle/b7dgcd |
work_keys_str_mv |
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