A New Ant Colony Optimization Algorithm Applied to Optimizing Centralized Wireless Access Network

Subject. This article discusses the issues related to the creation of a technology of modeling and optimization of economic, financial, information, and logistics cluster-cluster cooperation within a federal district. Objectives. The article aims to propose a model for determining the optimal center of industrial agglomeration for innovation and industry clusters located in a federal district. Methods. For the study, we used the ant colony optimization algorithm. Results. The article proposes an original model of cluster-cluster cooperation, showing the best version of industrial agglomeration, the cities of Samara, Ulyanovsk, and Dimitrovgrad, for the Volga Federal District as a case study. Conclusions. If the industrial agglomeration center is located in these three cities, the cutting of the overall transportation costs and natural population decline in the Volga Federal District will make it possible to qualitatively improve the foresight of evolution of the large innovation system of the district under study.

Download Full-text

Ant colony optimization algorithm based on chaotic disturbance and neighborhood exchange for vehicle routing problem

Journal of Computer Applications ◽

10.3724/sp.j.1087.2012.00444 ◽

2013 ◽

Vol 32 (2) ◽

pp. 444-447 ◽

Cited By ~ 1

Author(s):

Ya LI ◽

Dong WANG

Keyword(s):

Ant Colony Optimization ◽

Vehicle Routing ◽

Optimization Algorithm ◽

Vehicle Routing Problem ◽

Ant Colony ◽

Ant Colony Optimization Algorithm ◽

Routing Problem

Download Full-text

Performance Evaluation of Fiber Wireless (FiWi) Access Network using Position Optimization of ONUs

International Journal of Sensors Wireless Communications and Control ◽

10.2174/2210327910666200304131411 ◽

2020 ◽

Vol 10 ◽

Author(s):

Nitin Chouhan ◽

Uma Rathore Bhatt ◽

Raksha Upadhyay

Keyword(s):

Power Consumption ◽

Optimization Algorithm ◽

Optical Network ◽

Access Network ◽

Whale Optimization Algorithm ◽

Wireless Access ◽

Delivery Ratio ◽

Packet Delivery ◽

Whale Optimization ◽

Wireless Access Network

: Fiber Wireless Access Network is the blend of passive optical network and wireless access network. This network provides higher capacity, better flexibility, more stability and improved reliability to the users at lower cost. Network component (such as Optical Network Unit (ONU)) placement is one of the major research issues which affects the network design, performance and cost. Considering all these concerns, we implement customized Whale Optimization Algorithm (WOA) for ONU placement. Initially whale optimization algorithm is applied to get optimized position of ONUs, which is followed by reduction of number of ONUs in the network. Reduction of ONUs is done such that with fewer number of ONUs all routers present in the network can communicate. In order to ensure the performance of the network we compute the network parameters such as Packet Delivery Ratio (PDR), Total Time for Delivering the Packets in the Network (TTDPN) and percentage reduction in power consumption for the proposed algorithm. The performance of the proposed work is compared with existing algorithms (deterministic and centrally placed ONUs with predefined hops) and has been analyzed through extensive simulation. The result shows that the proposed algorithm is superior to the other algorithms in terms of minimum required ONUs and reduced power consumption in the network with almost same packet delivery ratio and total time for delivering the packets in the network. Therefore, present work is suitable for developing cost-effective FiWi network with maintained network performance.

Download Full-text