A hybrid optimisation algorithm for coverage enhancement in 3D directional sensor networks

  • Authors:

  • Li Yupeng;Ji Peng;Ren Weidong

  • Affiliations:

  • College of Information Science and Engineering, Northeastern University, Shenyang 110819, China;College of Information Science and Engineering, Northeastern University, Shenyang 110819, China;College of Electronic and Information Engineering, Foshan University, Foshan 528000, China

  • Venue:
  • International Journal of Sensor Networks
  • Year:
  • 2013

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Abstract

3D model-based coverage of directional sensor networks DSNs is one of the emerging research topics in recent decades. To further remedy the deficiency of the 2D directional sensing model that cannot accurately characterise the actual DSNs, a 3D directional sensing model is established in this paper, and the key parameters are calculated precisely that may be utilised in any algorithms. Moreover, motivated by the existing coverage-enhancing algorithm of WSNs, hybrid optimisation algorithm for area coverage enhancement HOA-ACE is also proposed that is an improvement of particle swarm optimisation PSO and conjugate gradient algorithm CGA. In the proposed hybrid optimisation algorithm HOA, we not only focus on the global searching, but also trying to reduce possibility of falling into the local optimum. Finally, simulation results are performed to demonstrate the effectiveness of the proposed algorithm. Besides, another simulation experiment results show the effect of some aspects based on our proposed model.