An Energy-Efficient Objective Optimization Model for Dynamic Management of Reliability and Delay in WSNs

2018 ◽  
pp. 238-247
Author(s):  
Wenwen Liu ◽  
Gang Wang ◽  
Xiaoguang Liu
Keyword(s):  
Optimization Model ◽  
Energy Efficient ◽  
Dynamic Management

scholarly journals A Sparse Optimization Approach for Energy-Efficient Timetabling in Metro Railway Systems

2018 ◽  
Vol 2018 ◽  
pp. 1-19 ◽  
Author(s):  
Ziyan Luo ◽  
Xiaoyu Li ◽  
Naihua Xiu
Keyword(s):  
Optimization Model ◽  
Energy Efficient ◽  
Convex Relaxation ◽  
Sparse Optimization ◽  
Computational Time ◽  
Optimization Approach ◽  
Railway Systems ◽  
Alternating Direction ◽  
Np Hard Problem ◽  
Regenerative Energy

In this paper, we propose a sparse optimization approach to maximize the utilization of regenerative energy produced by braking trains for energy-efficient timetabling in metro railway systems. By introducing the cardinality function and the square of the Euclidean norm function as the objective function, the resulting sparse optimization model can characterize the utilization of the regenerative energy appropriately. A two-stage alternating direction method of multipliers is designed to efficiently solve the convex relaxation counterpart of the original NP-hard problem and then to produce an energy-efficient timetable of trains. The resulting approach is applied to Beijing Metro Yizhuang Line with different instances of service for case study. Comparison with the existing two-step linear program approach is also conducted which illustrates the effectiveness of our proposed sparse optimization model in terms of the energy saving rate and the efficiency of our numerical optimization algorithm in terms of computational time.

scholarly journals Grid based Energy-Efficient Cross-Layer Optimization Model in WSN Using Dual Mobile Sinks

2021 ◽  
Author(s):  
Vimala D ◽  
Manikandan K
Keyword(s):  
Network Lifetime ◽  
Optimization Model ◽  
Energy Efficient ◽  
Simulation Analysis ◽  
Optimal Path ◽  
Maximum Energy ◽  
Base Station ◽  
Cross Layer ◽  
Cross Layer Optimization ◽  
Grid Based

Abstract In recent days, wireless sensor network (WSN) gained more attention among researchers as well as industries. It is composed with massive number of sensors which are independently organized cooperate with one another for collecting, processing and transmitting data to the base station (BS) or sink. Since sensors undergo random deployment in harsh environment, it is difficult or not even possible to replace the batteries. So, energy efficient clustering and routing techniques are preferable to reduce the dissipation of energy and improve the network lifetime. This paper introduces a new Grid based Energy-Efficient Cross-Layer Optimization Model in WSN Using Dual Mobile Sink (GEECLO). The proposed method involves three main processes namely grid partitioning, clustering and routing. Initially, the entire network is partitioned into different zones and then sub zones. Then, type II FL process gets executed to select the CHs and construct the clusters. Finally, dolphin swarm optimization algorithm (DSOA) based routing process takes place to select the optimal path for inter-cluster communication. A detailed simulation analysis takes place to ensure the betterment of the GEECLO algorithm. The obtained experimentation outcome depicted that the GEECLO model offers maximum energy efficiency and network lifetime.

scholarly journals Energy-Efficient Transmission Range Optimization Model for WSN-Based Internet of Things

2021 ◽  
Vol 67 (3) ◽  
pp. 2989-3007
Author(s):  
Md. Jalil Piran ◽  
Sandeep Verma ◽  
Varun G. Menon ◽  
Doug Young Suh
Keyword(s):  
Internet Of Things ◽  
Optimization Model ◽  
Energy Efficient ◽  
Transmission Range ◽  
Efficient Transmission

Energy Efficient Power Allocation Using Salp Particle Swarm Optimization Model in MIMO–NOMA Systems

2020 ◽  
Vol 111 (2) ◽  
pp. 1235-1254 ◽  
Author(s):  
Shaik Khaleelahmed ◽  
Nandhanavanam VenkateswaraRao
Keyword(s):  
Particle Swarm Optimization ◽  
Power Allocation ◽  
Optimization Model ◽  
Energy Efficient ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Efficient Power

Optimization Model and Algorithm for Energy Efficient Virtual Node Embedding

2015 ◽  
Vol 19 (8) ◽  
pp. 1327-1330 ◽  
Author(s):  
Xiaohua Chen ◽  
Chunzhi Li ◽  
Yunliang Jiang
Keyword(s):  
Optimization Model ◽  
Energy Efficient ◽  
Virtual Node

An optimization model for energy-efficient machining for sustainable production

2019 ◽  
Vol 232 ◽  
pp. 1121-1133 ◽  
Author(s):  
Honghui Wang ◽  
Ray Y. Zhong ◽  
Guijie Liu ◽  
WeiLei Mu ◽  
Xiaojie Tian ◽  
...  
Keyword(s):  
Optimization Model ◽  
Energy Efficient ◽  
Sustainable Production
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