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IWD-based Mobile Sink Route Determination for WSN under Non-Uniform Data Constraints

机译：非均匀数据约束下基于IWD的WSN移动宿路径确定

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摘要

In order to avoid the energy-hole or hotspot problem in a Wireless Sensor Network, a portable sink is utilized to gather information from the sensor nodes by navigating the system intermittently. A portable sink might be permitted to visit just a restricted number of sensor nodes, alluded as Rendezvous Points (RP) and rest of the sensor nodes send their information to the closest Rendezvous Point so as to avoid the postponement acquired by visiting all the sensor nodes. Thus, it is very important to determine an optimal set of RP in order to enhance the information gathering procedure of the sink and furthermore expand the lifetime of the WSN. However, it is very complex to locate the ideal set of RP when the sensor nodes generate information unevenly. This paper puts forward a new Intelligent Water Drops (IWD)-based mobile sink route determination mechanism for the WSN system. This algorithm aims at boosting up the lifetime of the network and minimizing the network energy consumption in forwarding the data packets. In the proposed algorithm, a productive mechanism has been devised based on the behaviour of Intelligent Water Drops so as to find an ideal arrangement of Rendezvous Points (RP) and the mobile sink's routing path. This also permits the re-selection of RP from time to time to balance the system's energy as the weights of the nodes keep changing due to uneven data production. Superiority of the proposed algorithm has been observed when its performance is compared with similar existing approaches.
机译：为了避免无线传感器网络中的能量孔或热点问题，便携式接收器用于通过间歇性地导航系统来从传感器节点收集信息。可能允许便携式接收器访问有限数量的传感器节点，这些节点被称为“集合点（RP）”，其余的传感器节点将其信息发送到最近的集合点，以避免访问所有传感器节点而导致的延迟。 。因此，确定最佳的RP集以增强接收器的信息收集过程并进一步延长WSN的寿命非常重要。但是，当传感器节点生成信息不均匀时，找到理想的RP集非常复杂。提出了一种新的基于智能水滴的无线传感器网络移动宿路由确定机制。该算法旨在延长网络的寿命，并最大程度地减少转发数据包时的网络能耗。在提出的算法中，基于智能水滴的行为设计了一种生产机制，以找到理想的交会点（RP）和移动宿的路由路径。这也允许不时重新选择RP，以平衡系统的能量，因为节点的权重由于数据生成不均而不断变化。当将其性能与类似的现有方法进行比较时，已观察到该算法的优越性。

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