The present research constructs a wireless sensor network coverage optimization strategy based on swarm intelligence.
本文基于群体智能建立无线传感器网络的覆盖优化策略。
The coverage problem in wireless sensor networks is studied, which is very important to network life time, sensor deployment strategy, communication protocol, networking, etc.
研究了无线传感器网络中的覆盖问题，此问题对传感器网络的生存时间、部署策略、通信协议和组网等问题具有十分重要的意义。
In this paper, we propose the GTSA Grid Template Scan Algorithm and computer the coverage degree in the wireless sensor network aiming to simple wireless network.
论文从无线传感器网络覆盖度的角度出发，设计了网络的覆盖算法。
In a random deployment wireless sensor network, there are a large number of coverage and connectivity redundant nodes, which waste energy, and affect network performance.
随机部署的无线传感网络通常包含大量的覆盖与连通冗余节点，这些节点不仅造成大量的能源浪费，同时影响网络的性能。
In a random deployment wireless sensor network, there are a large number of coverage and connectivity redundant nodes, which waste energy, and affect network performance.
随机部署的无线传感网络通常包含大量的覆盖与连通冗余节点，这些节点不仅造成大量的能源浪费，同时影响网络的性能。
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