Connectivity and coverage maintenance in wireless sensor networks

  • Authors:

  • Yuanyuan Zeng;Cormac J. Sreenan;Naixue Xiong;Laurence T. Yang;Jong Hyuk Park

  • Affiliations:

  • School of Electronic Engineering, Wuhan University, Wuhan, China and Department of Computer Science, University College Cork, Cork, Ireland;Department of Computer Science, University College Cork, Cork, Ireland;Department of Computer Science, Georgia State University, Atlanta, USA;Department of Computer Science, St. Francis Xavier University, Antigonish, Canada;Department of Computer Science and Engineering, Kyungnam University, Kyungnam, Korea

  • Venue:
  • The Journal of Supercomputing
  • Year:
  • 2010

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Abstract

One of the main design challenges for wireless sensor networks (WSNs) is to obtain long system lifetime without sacrificing system original performance such as communication connectivity and sensing coverage. A large number of sensor nodes are deployed in redundant fashion in dense sensor networks, which lead to higher energy consumption. We propose a distributed framework for energy efficient connectivity and coverage maintenance in WSNs. In our framework, each sensor makes self-scheduling to separately control the states of RF and sensing unit based on dynamic coordinated reconstruction mechanism. A novel energy-balanced distributed connected dominating set algorithm is presented to make connectivity maintenance; and also a distributed node sensing scheduling is brought forward to maintain the network coverage according to the surveillance requirements. We implemented our framework by C++ programming, and the simulation results show that our framework outperforms several related work by considerably improving the energy performance of sensor networks to effectively extend network lifetime.