 Chaotic functions influenced the spider monkey optimisation algorithm for optimal routing and channel assignmentVijay Omprakash Rathi and Raj Thaneeghaivel International Journal of Industrial and Systems Engineering, 2025, vol. 51, issue 3, 309-341 Abstract: This paper intends to introduce a novel routing and channel assignment in multi-channel MANET. Here, the optimal routing is performed by selecting the cluster head under certain constraints like delay, distance, QoS, RSSI, and security. For this, chaotic functions influenced spider monkey optimisation (CFISMO) algorithm is used. The assignment of channels as the scheduling policy is introduced through senders while it has packets to transmit. In this work, the channel assignment will be initiated via a machine learning model that predicts the availability of the channels, which is based on the paths (channels) generated under the selected cluster head. Here, an optimised neural network (NN) will be used. Thus, the final output shows the paths (channels) to be assigned for data transmission. In the end, the performance of the adopted routing approach is evaluated over other traditional schemes based on various metrics like distance, PDR, delay, energy, alive nodes, QoS, security, and trust, respectively. Keywords: MANET; optimal routing; quality of service; neural network; optimisation. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:51:y:2025:i:3:p:309-341 Access Statistics for this article More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd |
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