A self-adaptive power optimized opportunistic routing for wireless sensor network
被引:0
作者:
Yue, Lin
论文数: 0引用数: 0
h-index: 0
机构:
School of Electronic Information, Wuhan University, Wuhan 430079, ChinaSchool of Electronic Information, Wuhan University, Wuhan 430079, China
Yue, Lin
[1
]
Yi, Ben-Shun
论文数: 0引用数: 0
h-index: 0
机构:
School of Electronic Information, Wuhan University, Wuhan 430079, ChinaSchool of Electronic Information, Wuhan University, Wuhan 430079, China
Yi, Ben-Shun
[1
]
Xiao, Jin-Sheng
论文数: 0引用数: 0
h-index: 0
机构:
School of Electronic Information, Wuhan University, Wuhan 430079, ChinaSchool of Electronic Information, Wuhan University, Wuhan 430079, China
Xiao, Jin-Sheng
[1
]
Fang, Yan-Jun
论文数: 0引用数: 0
h-index: 0
机构:
School of Power and Mechanical Engineering, Wuhan University, Wuhan 430079, ChinaSchool of Electronic Information, Wuhan University, Wuhan 430079, China
Fang, Yan-Jun
[2
]
机构:
[1] School of Electronic Information, Wuhan University, Wuhan 430079, China
[2] School of Power and Mechanical Engineering, Wuhan University, Wuhan 430079, China
来源:
Shenyang Gongye Daxue Xuebao/Journal of Shenyang University of Technology
|
2011年
/
33卷
/
04期
关键词:
Power control - Power management (telecommunication) - Throughput - Adaptive control systems - Energy utilization - Network routing - Wireless sensor networks;
D O I:
暂无
中图分类号:
学科分类号:
摘要:
In order to solve such problem as the low communication energy efficiency of wireless sensor network under unreliable communication links, a self-adaptive power optimized geographic opportunistic routing protocol for wireless sensor network was proposed. In combination with the power control and geographic opportunistic routing, a relative forwarding energy efficiency model was established through analyzing single-hop throughput and data transmission energy consumption. An optimized mechanism with self-adaptation between forwarding set and transmission power was proposed to achieve the optimum transmission energy consumption of wireless sensor network and ensure the throughput at the same time. The simulation results show that with variable node density, the self-adaptive power optimized opportunistic routing has higher energy and transmission efficiency than both power fixed opportunistic routing and traditional geographic routing.