A popular data acquisition technique for Wireless Sensor Networks (WSNs) is usage of static sink. However, this results in hot-spot or sink-hole problem as the sensor nodes near the sink die as they disseminate the data of the entire network to the sink node. In this work, in order to alleviate these problems, mobile sink (MS) is used. However, designing an optimal trajectory for mobile sink traversal is a complex problem. Further, instead of constrained sensor nodes, relay nodes (RNs) are used to cluster the data sensed. These RNs are deployed using the proposed meta-heuristic Differential Moth Flame Optimization (DMFO) algorithm. Also, a traversal strategy for the MS is proposed in order to collect the sensed data. The proposed strategy is an improvement to most of the existing strategies that use Traveling Salesman Problem (TSP) solver with exponential complexity for sink movement. Extensive simulations are carried out and the results are analyzed for various network scenarios over different performance metrics.

无线传感器网络（WSN）的一种流行数据采集技术是使用静态接收器。但是，由于靠近接收器的传感器节点在将整个网络的数据传播到接收器节点时死亡，因此会导致热点或接收器孔问题。在这项工作中，为了减轻这些问题，使用了移动接收器（MS）。然而，设计用于移动汇宿穿越的最佳轨迹是一个复杂的问题。此外，代替受约束的传感器节点，中继节点（RN）被用来聚类所感测的数据。使用建议的元启发式差分蛾火焰优化（DMFO）算法部署这些RN。另外，提出了用于MS的遍历策略以便收集感测到的数据。所提出的策略是对大多数现有策略的改进，这些策略使用旅行商问题（TSP）求解器来处理汇点移动，并且具有指数级的复杂性。进行了广泛的仿真，并针对不同性能指标下的各种网络场景分析了结果。