Fuzzy hierarchical ant colony optimization routing for weighted cluster in MANET

Wireless mobile network likely will be a set of self-directed systems. In which they are not only based on the unfixed infrastructure-less wireless network. This paper gives a major scope for routing ad-hoc network using fuzzy hierarchical ant colony optimization routing by maintaining the sustainab...

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Bibliographic Details
Published in:Cluster computing 2019-07, Vol.22 (Suppl 4), p.9637-9649
Main Authors: Mani Kandan, J., Sabari, A.
Format: Article
Language:English
Subjects:
Algorithms
Ant colony optimization
Clustering
Computer Communication Networks
Computer Science
Energy consumption
Fuzzy logic
Fuzzy sets
Linguistics
Mobile ad hoc networks
Nodes
Operating Systems
Optimization
Parameters
Processor Architectures
Routing (telecommunications)
Wireless networks
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Summary:Wireless mobile network likely will be a set of self-directed systems. In which they are not only based on the unfixed infrastructure-less wireless network. This paper gives a major scope for routing ad-hoc network using fuzzy hierarchical ant colony optimization routing by maintaining the sustainability of the cluster head inside a cluster is very difficult in the adhoc network. The selected cluster head among the nodes is based on the quality of service parameter of the nodes. The weight assigned to the cluster head will determine how long the cluster head will hold. The fuzzy hierarchical ant colony optimization routing is used to select the optimized cluster head by way of in a cluster and the optimal cluster head will increase the routing. Ant colony optimization, Fuzzy Rules for Cluster Head Selection Process and Cluster’s Gateway are the three processes involved in the proposed FHACO protocol. The parameters taken for our proposed algorithm are the buffer size, energy consumption, routing overhead, packet delivery ratio and end to end delay throughput of wireless system. The system is implemented in network simulator-2 and it is assessed to gather weighted clustering technique. The experimental analysis shows that fuzzy hierarchical ant colony optimization produces a better result in maintaining the persistence of the cluster head.
ISSN:1386-7857
1573-7543
DOI:10.1007/s10586-017-1318-1