This paper focuses on the quality of coverage (QoC) and connectivity problems for wireless sensor networks, considering the cooperative sensing model and the multi-adjustable communication rang without location information. For the random deployment policy, the performances of the network QoC and the network connectivity for various number of active nodes, different area of the monitored region and changeable performance parameter of each node are presented respectively. Furthermore, the scheduling control algorithm (SCA) is designed to guarantee the QoC and connectivity of networks with the least number of nodes.It chooses the uniformly-located working nodes and makes sure that the energy consumption of each node consumes homogeneously. Simulation results show that the active node number employed in the cooperative sensing model to provide the desired QoC of networks is less than that of the binary sensing model. And the SCA policy not only provides the desired QoC and connectivity of networks,but also reduces the total energy consumption and balances the energy dissipation among nodes.%本文研究在没有节点位置信息的情况下,如何有效地保证节点采用联合感知模型且节点通信范围多级可调的无线传感器网络的覆盖质量和连通性.给出了在节点随机部署方式下,网络覆盖质量和网络连通性与工作节点个数、监测区域面积和节点性能参数的关系;设计了一个选取最少工作节点保证网络覆盖质量和网络连通性的调度控制算法(SCA),该算法力求选取出的工作节点位置分布均匀并且网络整体能耗分布均衡.仿真结果表明:采用联合感知模型比采用二进制感知模型保证网络覆盖质量需要的工作节点更少.SCA不仅有效地提供满足应用期望的覆盖质量和连通性,而且减少了能量消耗,实现了能耗负载均衡.
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