Dynamic Tree Routing Protocol with Convex Hull Optimization for Optimal Routing Paths

Cuddapah Anitha, C. Sivakumar, V. Rajasekar, S. Velliangiri
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引用次数: 2

Abstract

Wireless sensor networks (WSN) benefit from their ability to deploy many smaller autonomous nodes without an infrastructure. The sensor nodes collect information from the physical world after deployment and according to a given protocol for communication. A strong technique for a wide range of applications of various needs has arisen as WSN is regarded important in all fields. But a few obstacles still remain until a mature technology finally emerges. The energy limitation is one of the major concerns in sensor nodes, where batteries are the primary source of power. A vast majority of work has been carried out in this context in order to provide a wide range of energy efficiency approaches. In this work, we adopt a method to find the effects of parameters contributing to energy consumption in WSNs using an optimal energy modelling. A dynamic tree routing protocol with convex hull optimization is adopted. These techniques are adopted to lower the energy consumption while the packet is carried between the source and destination nodes. The study also maintains the trade-off between other network metrics like network throughput and energy lifetime. These techniques are adopted to lower the energy consumption while the packet is carried between the source and destination nodes. The study also maintains the trade-off between other network metrics like network throughput and energy lifetime.
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最优路径的凸包优化动态树路由协议
无线传感器网络(WSN)得益于其无需基础设施即可部署许多较小的自治节点的能力。传感器节点在部署后根据给定的通信协议从物理世界收集信息。随着无线传感器网络在各个领域的重要性日益凸显,一种强大的技术在各种需求的广泛应用中应运而生。但在成熟的技术最终出现之前,仍然存在一些障碍。能量限制是传感器节点的主要问题之一,其中电池是主要的电力来源。在这方面进行了绝大多数工作,以便提供广泛的能源效率办法。在这项工作中,我们采用了一种方法,通过最优能量建模来发现参数对WSNs能量消耗的影响。采用了一种带有凸包优化的动态树路由协议。采用这些技术是为了降低数据包在源节点和目的节点之间传输时的能量消耗。该研究还维护了其他网络指标(如网络吞吐量和能量寿命)之间的权衡。采用这些技术是为了降低数据包在源节点和目的节点之间传输时的能量消耗。该研究还维护了其他网络指标(如网络吞吐量和能量寿命)之间的权衡。
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