Autonomic self-organization architecture for wireless sensor communications

  • Authors:
  • Jiann-Liang Chen;Hsi-Feng Lu;Chien-An Lee

  • Affiliations:
  • Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan and Department of Computer Science, New Jersey Institute of Technology, Newark, New Jersey;Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan;Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan

  • Venue:
  • International Journal of Network Management
  • Year:
  • 2007

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Abstract

Wireless sensor nodes may be spread over large areas and long distances, and require multi-hop communications between nodes, making direct management numerous wireless sensor nodes inefficient. Hierarchical management can be adopted to control several nodes. Effectively controlling the top-level nodes can decrease the costs of managing nodes and of the communication among them. The lower-level nodes are controlled and organized with the higher-level nodes. This study presents an algorithm for self-organization mechanism of higher-level nodes, contesting member nodes by multi-hop to form hierarchical clusters, and applying the '20/80 rule' to determine the ratio of headers to member nodes. Furthermore, the broadcast tree is constructed with the minimum number of hops. Simulation results indicate that the mechanism has a 6-22% lower cover loss than other approaches. The average delay of the minimum hop count approach is 0.22-1.57 ms less than that of free hop count approach. The simulation also reveals the influence of 20/80 rule on cluster formation between sensor nodes.