A Transmission Power Optimization with a Minimum Node Degree for Energy-Efficient Wireless Sensor Networks with Full-Reachability

Sensors

Yi-Ting Chen²  Mong-Fong Horng²  Chih-Cheng Lo¹  Shu-Chuan Chu³  Jeng-Shyang Pan² 

[1] Chung-Shan Institute of Science and Technology, Zuoying 90008, Taiwan; E-Mail:;Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung 807, Taiwan; E-Mails:;School of Computer Science, Engineering and Mathematics, Flinders University, Adelaide 5068, Australia; E-Mail:

关键词: transmission optimization;    minimum node degree;    energy-efficient;    full reachability networks;   

DOI  :  10.3390/s130303951

来源: mdpi

【 摘 要 】

Transmission power optimization is the most significant factor in prolonging the lifetime and maintaining the connection quality of wireless sensor networks. Un-optimized transmission power of nodes either interferes with or fails to link neighboring nodes. The optimization of transmission power depends on the expected node degree and node distribution. In this study, an optimization approach to an energy-efficient and full reachability wireless sensor network is proposed. In the proposed approach, an adjustment model of the transmission range with a minimum node degree is proposed that focuses on topology control and optimization of the transmission range according to node degree and node density. The model adjusts the tradeoff between energy efficiency and full reachability to obtain an ideal transmission range. In addition, connectivity and reachability are used as performance indices to evaluate the connection quality of a network. The two indices are compared to demonstrate the practicability of framework through simulation results. Furthermore, the relationship between the indices under the conditions of various node degrees is analyzed to generalize the characteristics of node densities. The research results on the reliability and feasibility of the proposed approach will benefit the future real deployments.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.