Node Reclamation and Replacement for Long-Lived Sensor Networks
Node Reclamation and Replacement for Long-Lived Sensor Networks
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DOI：
10.1109/tpds.2011.25
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发表时间：
2011-09
影响因子：
5.3
通讯作者：
Bin Tong;Guiling Wang;Wensheng Zhang;Chuang Wang
中科院分区：
文献类型：
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作者：
Bin Tong;Guiling Wang;Wensheng Zhang;Chuang Wang
当部署用于长期任务时，支持传感器节点活动所需的能量远远超过其电池中可以预加载的能量。无论如何节约电池能量，一旦能量耗尽，网络寿命就终止。因此，保障长期能源供应仍然是一个巨大的挑战。为了解决这个问题，我们提出了一种节点回收和更换（NRR）策略，通过该策略，移动机器人或被称为移动维修员（MR）的人工定期遍历传感器网络，回收低电量或无电量的节点，用充满电的节点替换它们，并将回收的节点带回能源站充电。为了有效且高效地实现该策略，我们开发了一种基于自适应交会的两层调度方案（ARTS）来调度 MR 的替换/回收活动和节点的占空比。进行了大量的模拟来验证 ARTS 方案的有效性和效率。
When deployed for long-term tasks, the energy required to support sensor nodes' activities is far more than the energy that can be preloaded in their batteries. No matter how the battery energy is conserved, once the energy is used up, the network life terminates. Therefore, guaranteeing long-term energy supply has persisted as a big challenge. To address this problem, we propose a node reclamation and replacement (NRR) strategy, with which a mobile robot or human labor called mobile repairman (MR) periodically traverses the sensor network, reclaims nodes with low or no power supply, replaces them with fully charged ones, and brings the reclaimed nodes back to an energy station for recharging. To effectively and efficiently realize the strategy, we develop an adaptive rendezvous-based two-tier scheduling scheme (ARTS) to schedule the replacement/reclamation activities of the MR and the duty cycles of nodes. Extensive simulations have been conducted to verify the effectiveness and efficiency of the ARTS scheme.