Article | 23-April-2018
In order to improve the network coverage, this paper presents the research on wireless sensor network coverage based on improved particle swarm optimization algorithmfor wireless sensor nodes that are randomly deployed in a certain area.In this paper, we use the regional network coverage as the target objective function, and combine various improved particle swarm optimization algorithms to optimize the deployment location of all nodes to enhance the area coverage. The experimental results show
International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 4, 20–25
Article | 01-March-2015
Coverage and connectivity are two important problems in wireless sensor network. This paper focuses on the wireless sensor network communication radius in the high density of sensor nodes deployed randomly and two times smaller than the sensing radius; put forward a distributed k coverage multi connected node deployment algorithm based on grid. Simulation results show that the algorithm in this paper while guaranteeing the wireless sensor network coverage and connectivity can reduce the number
International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 1, 272–290
Article | 01-December-2014
the goal of the nodes reasonable distribution with improving the network coverage and reducing the nodes movement distance thus extends the lifetime of the network in the initial deployment phase and coverage holes recovery phase.
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 4, 1890–1907
Research Article | 15-February-2020
in energy consumption for all logical partitions. LBE method also balances logical partitions density and it increases the network coverage efficiency.
International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 5, 1–5