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首页> 外文期刊>International journal of communication systems >Energy aware tree-based sink relocation routing protocol to improve the lifetime of wireless sensor networks
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Energy aware tree-based sink relocation routing protocol to improve the lifetime of wireless sensor networks

机译：基于能量感知树的水槽重定位路由协议，提高无线传感器网络的寿命

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摘要

In wireless sensor network (WSN), the design of routing protocols focuses mainly on the energy efficiency based on the application of the network. Over the past years, researchers developed many solutions to protract the life expectancy of the network by reducing the consumption of energy by each node. One of the main approaches is the usage of sink in mobility; this reduces the hotspot problem and energy consumption. Aiming at this problem, the paper proposes a new routing algorithm which supports the sink mobility with energy aware tree-based sink relocation routing protocol (TBSR) using adaptive fuzzy decision-making approach (AF-MADM). In TBSR, a self -organized routing tree is formed, which reduces the consumption of energy. In the beginning, the clustering process is employed using fuzzy possibilistic C-means (FPCM) algorithm. Further, the fuzzy analytic hierarchy process (FAHP) with multiplicative exponential weighting model is developed for optimal decision making to select the root node. Then the selected root node creates a routing tree based on the distance and energy of the sensor nodes. Then each node uses its cluster information and the distance of the neighbors to select the parent node. For relocating the sink node, the proposed protocol calculates the energy along with hop count and path capacity. These methods make TBSR an energetic and analogous protocol. Results show that the proposed TBSR improves on the energy consumption and the lifetime of the network compared with existing protocols. The simulation is carried out in OMNET++ platform.
机译：在无线传感器网络（WSN）中，路由协议的设计主要针对基于网络的应用的能效。在过去几年中，研究人员通过减少每个节点来减少能量消耗来延伸许多解决方案来延伸网络的预期寿命。其中一个主要方法是使用水槽的流动性;这降低了热点问题和能耗。针对这个问题，本文提出了一种新的路由算法，它使用自适应模糊决策方法（AF-MADM）支持与能量感知树的水槽重定位路由协议（TBSR）支持汇聚算法。在TBSR中，形成自成品的路由树，从而降低了能量的消耗。在开始时，使用模糊可能性C-means（FPCM）算法使用聚类过程。此外，开发了具有乘法指数加权模型的模糊分析层次处理（FAHP）以选择根节点的最佳决策。然后，所选根节点基于传感器节点的距离和能量创建路由树。然后每个节点都使用其群集信息和邻居的距离来选择父节点。为了重新分解水槽节点，所提出的协议随着跳数和路径容量计算能量。这些方法使TBSR成为一个能量和类似的协议。结果表明，与现有协议相比，建议的TBSR提高了网络的能耗和寿命。仿真在Omnet ++平台中执行。

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