.png){kind=icon}
返回
Energy efficient teaching-learning-based optimization for the discrete routing problem in wireless sensor networks
.png){kind=icon}
PRE
AI
DOI：10.1007/s10489-017-1108-8.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Wireless sensor networks (WSNs) are composed of sensor nodes, having limited energy resources and low processing capability. Accordingly, major challenges are involved in WSNs Routing. Thus, in many use cases, routing is considered as an NP-hard optimization problem. Many routing protocols are based on metaheuristics, such as Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO). Despite the fact that metaheuristics have provided elegant solutions, they still suffer from complexity concerns and difficulty of parameter tuning. In this paper, we propose a new routing approach based on Teaching Learning Based Optimization (TLBO) which is a recent and robust method, consisting on two essential phases: Teacher and Learner. As TLBO was proposed for continuous optimization problems, this work presents the first use of TLBO for the discrete problem of WSN routing. The approach is well founded theoretically as well as detailed algorithmically. Experimental results show that our approach allows obtaining lower energy consumption which leads to a better WSN lifetime. Our method is also compared to some typical routing methods; PSO approach, advanced ACO approach, Improved Harmony based approach (IHSBEER) and Ad-hoc On-demand Distance Vector (AODV) routing protocol, to illustrate TLBO's routing efficiency.
Keyword:
Wireless sensor network
Metaheuristic
Routing
Ad-hoc on-demand distance vector
Ant colony optimization
Particle swarm optimization
Harmony search
Teaching-learning-based optimization
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.5
论文数:
7.6K
被引数:
1.7W
机构
引用论文
Teaching-learning based optimization algorithm based fuzzy-PID controller for automatic generation control of multi-area power system基于教学优化算法的模糊PID控制器，用于多区域电力系统的自动发电控制
PREAI
分享收藏The Behavioral Activation for Depression Scale (BADS): Psychometric Properties and Factor Structure
PREAI
分享收藏An effective teaching-learning-based optimization algorithm for the flexible job-shop scheduling problem with fuzzy processing time.png)
NEUROCOMPUTING
NEUROCOMPUTINGIF6.5
PREAI
分享收藏Multi-objective optimization of machining and micro-machining processes using non-dominated sorting teaching-learning-based optimization algorithm基于非支配排序教学优化算法的加工和微加工过程多目标优化
PREAI
分享收藏Metaheuristics in combinatorial optimization: Overview and conceptual comparison组合优化中的元启发式: 概述和概念比较
PREAI
分享收藏
Energy harvesting and battery power based routing in wireless sensor networksWIRELESS NETWORKS
WIRELESS NETWORKSIF2.1
PREAI
分享收藏
查看更多内容