Grey Wolf Algorithm based Energy-Efficient Data Transmission in Internet of Things

被引：15
|
作者：
Manshahia, Mukhdeep Singh [1 ]
机构：
[1] Punjabi Univ, Dept Math, Patiala 147002, Punjab, India
来源：
10TH INT CONF ON EMERGING UBIQUITOUS SYST AND PERVAS NETWORKS (EUSPN-2019) / THE 9TH INT CONF ON CURRENT AND FUTURE TRENDS OF INFORMAT AND COMMUN TECHNOLOGIES IN HEALTHCARE (ICTH-2019) / AFFILIATED WORKOPS | 2019年 / 160卷
关键词：
Routing; Energy Conservation; Internet of things; Congestion control; PERFORMANCE; IOT; TCP; SINK;
D O I：
10.1016/j.procs.2019.11.040
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Delay and energy consumption are basic constraints in transmission of time critical data in Internet of 'hings (IoT). The efficiency of interact of things network depends upon routing mechanisms. A Grey wolf algorithm based intelligent approach is presented in this paper for energy efficient routing in IoT network. A fitness function is used and simulated in Matlab for energy efficient data delivery in interact of things. Simulation results show that the proposed approach outperforms both artificial bee colony (ABC) and artificial Fish Schooling algorithm (AFSA) in terms network throughput and energy consumption. (C) 2019 The Authors. Published by Elsevier B.V.
引用
收藏
页码：604 / 609
页数：6
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