Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2015, Vol. 38 ›› Issue (s1): 41-44.doi: 10.13190/j.jbupt.2015.s1.010

• Papers • Previous Articles     Next Articles

Balanced Tree Based Routing Algorithm for Smart Grid Data Collection

WANG Wen-hua1, JIA Xiao-chun2, CHEN Xing-yu2   

  1. 1. Electrical and Engineering Department, Laiwu Vocational and Technical College, Laiwu 271100, China;
    2. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2015-01-01 Online:2015-06-28 Published:2015-06-28

Abstract:

Different from traditional routing protocols in smart grid, the sudden congestion is no longer as main risk for data collection. The source of risk is currently key node congestion in network. A routing mechanism was proposed to realize reliable data acquisition of electric data transmission for load balance of network congestion. Firstly, an abstract mathematical model of communication network was built. Secondly, the routing protocol for wireless mesh networks (WMNs) was used. The node queue length was regarded as the decision parameters to establish a routing metric model (Data Balance Measurement Model, DBMM) corresponding to the routing algorithm based on the balanced tree (Routing Algorithm based on DBMM, RA-DBMM). Simulation was carried out in MATLAB environment, the performance was compared between the RA-DBMM algorithm and the classical Bellman-Ford algorithm. Experiments show that RA-DBMM algorithm can effectively improve the problem of data congestion, and improve the reliability and throughput of network.

Key words: smart grid, data acquisition, routing algorithm, data balance, node surplus capacity

CLC Number: