Research on Data Reliable Transmission Based on Energy Balance in WSN

• Main Authors: Yongxian SONG, Rongbiao ZHANG, Zhuo SHEN
• Format: Article
• Language: English
• Published: IFSA Publishing, S.L. 2014-05-01
• Series: Sensors & Transducers
• Subjects: Clustering algorithm; Virtual multiple-input-multiple-output (MIMO); Energy efficiency; Load balancing.
• Online Access: http://www.sensorsportal.com/HTML/DIGEST/may_2014/Vol_171/P_RP_0144.pdf

In view of energy load uneven distribution of WSN, some nodes will die prematurely due to excessive energy consumption, which lead to interruption of communication links and data packet loss, thus reliable data transmission is affected. On the basis of analyzing the main factors that affect energy consumption and existing energy saving technologies, combined with application of virtual multiple-input multiple-output (Virtual MIMO) routing algorithm in isomorphic wireless sensor network, virtual multiple-input multiple-output clustering algorithm (VMMCA) which applies to small and medium scale isomorphic WSN is proposed. VMMCA not only can select cluster head randomly, but also can achieve the life cycle optimization of WSN on the premise of assuring nodes communication quality. Virtual MIMO cluster network energy consumption model is established. On the condition of changing for different clusters size, node distribution density, the path loss index and sink nodes, the change of the energy consumption of virtual MIMO network and SISO network is analyzed. In order to balance network energy load and prolong lifetime of WSN, and the network lifetime is taken as the optimization target, the ratio of the clusters head is optimized by genetic algorithm. The experiment and simulation results show that compared with LEACH algorithm, VMMCA can achieve very good balance of energy and prolong network lifetime.