Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Ant Colony Based Algorithm for Constructing Broadcasting Tree with Constraint Satisfaction


Affiliations
1 Dept. of Computer Science, Birla Institute of Technology, Mesra-835215, Ranchi (JH), India
2 Dept. of Computer Science, Birla Institute of Technology, Mesra, Ranchi (JH), India
     

   Subscribe/Renew Journal


In this paper, we proposed solution for the construction of degree, delay and bandwidth constrained Minimum Spanning Tree (MST) of the network with the help of Ant Colony Optimization approach. The degree, delay and bandwidth constrained broadcasting problem with minimum-cost appears to be NP-complete. Given the lack of an exact algorithm to obtain the optimal solutions for NP-complete problems within a polynomial time, many meta-heuristic methods such as tabu search, genetic algorithm and ant colony system were proposed to solve these problems. Ant colony optimization is a well-known meta-heuristic for network optimization problems.

Keywords

Minimum Spanning Tree, Ant Colony Optimization, QoS, ACO-DDBCMST.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 214

PDF Views: 3




  • Ant Colony Based Algorithm for Constructing Broadcasting Tree with Constraint Satisfaction

Abstract Views: 214  |  PDF Views: 3

Authors

Sushant Fulzele
Dept. of Computer Science, Birla Institute of Technology, Mesra-835215, Ranchi (JH), India
Rashmi Sahay
Dept. of Computer Science, Birla Institute of Technology, Mesra, Ranchi (JH), India

Abstract


In this paper, we proposed solution for the construction of degree, delay and bandwidth constrained Minimum Spanning Tree (MST) of the network with the help of Ant Colony Optimization approach. The degree, delay and bandwidth constrained broadcasting problem with minimum-cost appears to be NP-complete. Given the lack of an exact algorithm to obtain the optimal solutions for NP-complete problems within a polynomial time, many meta-heuristic methods such as tabu search, genetic algorithm and ant colony system were proposed to solve these problems. Ant colony optimization is a well-known meta-heuristic for network optimization problems.

Keywords


Minimum Spanning Tree, Ant Colony Optimization, QoS, ACO-DDBCMST.



DOI: https://doi.org/10.36039/ciitaas%2F1%2F2%2F2009%2F107051.47-52