Utilising the mobilisation of a sink node in a wireless sensor network to combat the energy hole, or hotspot issue, is well referenced. However, another issue, that of energy spikes may remain. With the mobile sink node potentially communicating with some nodes more than others. In this study we propose the Mobility Aware Duty Cycling and Dynamic Preambling Algorithm (MADCaDPAL). This algorithm utilises an existing solution where a communication threshold is built between a mobile sink node using predictable mobility and static nodes on its path. MADCaDPAL bases decisions relating to node sleep function, moving to clear channel assessment and the subsequent sending of preambles on the relation between the threshold built by the static node and the position of the mobile sink node. MADCaDPAL achieves a reduction in average energy consumption of up to 80%, this when used in conjunction with a lightweight carrier-sense multiple access based MAC implementation. Maximum energy consumption amongst individual nodes is also brought closer to the average, reducing energy spikes and subsequently improving network lifetime. Additionally, frame delivery to the sink is improved overall.

利用无线传感器网络中的汇聚节点来解决能源漏洞或热点问题已得到很好的参考。但是，另一个问题是能量峰值可能会保留。通过移动接收器节点，与某些节点的通信可能比其他节点更多。在这项研究中，我们提出了移动感知占空比和动态预演算法（MADCaDPAL）。该算法利用了现有的解决方案，其中使用可预测的移动性在移动宿节点与其路径上的静态节点之间建立了通信阈值。MADCaDPAL基于与静态睡眠建立的阈值和移动宿节点位置之间的关系，决定与节点休眠功能，清除信道评估以及随后发送前导码有关的决定。MADCaDPAL与基于MAC的轻量级载波侦听多路访问一起使用时，可将平均能耗降低多达80％。各个节点之间的最大能耗也接近平均水平，从而减少了能量峰值，从而延长了网络寿命。另外，总体上改善了向水槽的框架传送。