On complete targets coverage and connectivity in energy harvesting wireless sensor networks

Changlin Yang, Kwan-Wu Chin
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引用次数: 12

Abstract

In energy harvesting wireless sensor networks, ensuring complete targets coverage is a fundamental problem. In particular, targets are required to be monitored by at least one sensor node at all times. To date, past works have proposed to schedule sensor nodes alternately in the active/sleep state to maximize network lifetime whilst maintaining complete targets coverage, and affording sensor nodes recharging opportunities. However, they do not consider connectivity to the sink. We first propose a Linear Programming (LP) based solution to determine the activation time of sensor nodes. The design constraints include complete targets coverage, energy, and flow conservation to ensure data from sensor nodes monitoring targets are able to forward their data to the sink. We also propose an efficient heuristic algorithm as the LP solution requires an exhaustive collection of set covers. The heuristic iteratively selects sensor nodes to monitor targets and forward sensed data according to their residual energy. The simulation results show that the heuristic algorithm achieves 80% of the network lifetime computed by the LP solution at a fraction of the computation time.
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能量收集无线传感器网络中完整目标的覆盖和连接
在能量收集无线传感器网络中,确保目标的完全覆盖是一个基本问题。特别是,要求目标始终由至少一个传感器节点监视。到目前为止,过去的工作已经提出在活动/睡眠状态下交替调度传感器节点,以最大化网络寿命,同时保持完整的目标覆盖,并为传感器节点提供充电机会。但是,它们不考虑与接收器的连接。我们首先提出了一种基于线性规划(LP)的解决方案来确定传感器节点的激活时间。设计约束包括完整的目标覆盖、能量和流量守恒,以确保来自监测目标的传感器节点的数据能够将其数据转发到接收器。我们还提出了一种有效的启发式算法,因为LP解决方案需要集合覆盖的穷举集合。启发式算法迭代选择传感器节点监测目标,并根据节点的剩余能量转发感测数据。仿真结果表明,启发式算法在计算时间的一小部分内达到了LP解计算的网络生命周期的80%。
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