期刊名称：International Journal of Computer Networks and Applications (IJCNA)
电子版ISSN：2395-0455
出版年度：2020
卷号：7
期号：4
页码：93-102
语种：English
出版社：EverScience Publications
摘要：Wireless Sensor Network (WSN) design to be efficient expects better energy optimization methods as nodes in WSN are operated only through batteries. In WSN, energy is a challenging one in the network during transmission of data. To overcome the energy issue in WSN, Taylor based Grey Wolf Optimization algorithm proposed, which is the integration of the Taylor series with Grey Wolf Optimization approach finding optimal hops to accomplish multi-hop routing. This paper shows the multiple objective-based approaches developed to achieve secure energy-aware multi-hop routing. Moreover, secure routing is to conserve energy efficiently during routing. The proposed method achieves 23.8% of energy, 75% of Packet Delivery Ratio, 35.8% of delay, 53.2% of network lifetime, and 84.8% of scalability.
关键词：Taylor Series;Grey Wolf Optimization;Multihop Routing;Energy Efficiency;Security
