一种基于协作的最优无线传感器节点密度控制算法

基于一种协作感知模型（CSM），提出了一种最优的保证覆盖的密度控制算法——EECDC。CSM建立了一系列的非线性约束方程，从而找出了该模型下能够最小化工作节点数的最优节点位置，EECDC则基于该最优节点位置对节点进行休眠调度。仿真试验表明，相比于基于传统圆盘感知模型的最优密度控制算法，EECDC协议能够以较少的工作节点和较少的能耗来保证原始网络覆盖率，从而达到较好的能量有效性。

Optimal node density control algorithm based on cooperation in WSNs

An Energy Efficient Cooperative Density Control Algorithm (EECDC) was proposed. EECDC is based on a new sensing model-Cooperative Sensing Model (CSM). According to CSM, serials of nonlinear constrained programming models were developed to find the optimal conditions for full coverage with minimal sensor nodes. Based on the findings, EECDC had been devised to select sensor nodes as close to optimal locations as possible to be the working nodes. Simulations show that EECDC outperforms OGDC algorithm in term of number of working nodes needed, and achieves almost the same coverage. As a result, it achieves higher energy efficiency and longer network lifetime.