计算机科学
路由协议
链路状态路由协议
动态源路由
静态路由
计算机网络
基于策略的路由
水准点(测量)
无线路由协议
无线传感器网络
分布式计算
布线(电子设计自动化)
地理路由
蚁群优化算法
距离向量路由协议
区域路由协议
架空(工程)
目的地顺序距离矢量路由
路由域
增强型内部网关路由协议
算法
操作系统
大地测量学
地理
作者
Avaneesh Kanshi,Navneet Vinod Melarkode,Varun Niraj Agarwal
标识
DOI:10.1109/i4tech55392.2022.9952718
摘要
High-efficient routing is a significant component of a network which forms an indispensable part of designing Wireless Sensor Networks (WSNs). A typical WSN environment limits its resources with respect to the power it transmits, the overhead it carries and the energy it is boarded along with. Subsequently, when these WSNs are employed in large numbers to gather data from solitary destinations and targets, few constraints are enforced by itself owing to the fact that sensor nodes in WSNs carry limited energy, a limited computation power and a highly exhaustive storage capacity among themselves. With due credit to this very fact, Swarm Intelligence (SI) algorithms have been brought on the research scene to help administrate and govern the sensor nodes when in action. In this research study, we analyze and weigh the existing advancements in Energy efficiency routing protocols that utilize SI for WSNs and propose our own modification to the Ant Based Routing Protocol, Direction Based-Improved Ant Based Routing Algorithm (DB-IABR). Since the legacy protocol was found to be the trendsetter in terms of Energy efficiency, it serves as our benchmark for evaluations that succeed today's innovations. This study uses standard metrics like energy, path hops and the time as the evaluation parameters. The algorithm is compared with its legacy root algorithm Ant Based Routing and Improved Ant Based Routing Protocols.
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