Allocation of channels over optical burst switching (OBS) networks in smart cities using integrated statistical techniques

Abstract

With the evolution of web computing, Cloud computing and 6G, the data transmission speed has become one of the most imperative subject to be addressed especially for smart cities. The OBS (optical burst switching) networks are emerging as a fast and robust infrastructure for seamless connectivity and data transmission over internet in smart cities. The network traffic is generally heterogeneous in nature and OBS networks are responsible for transmission of network traffic to the intended nodes with fast speed. An appropriate channel allocation to the network traffic is a major challenge for OBS networks due to enormous traffic on optical medium. In order to minimize the consumption of bandwidth, to minimize the latency and to enhance the network throughput, we are proposing PROMETHEE-II based multi criteria channel selection approach in this paper. We have devised client server based approach where OBS central controller controls the core optical switches and channelize the network traffic on suitable channels. The criteria for selecting the appropriate channel is based on network bandwidth, hop count, channel waiting time, channel response time, traffic load on channel, expected traffic, wavelength, and link capacity. We have used AHP method to attain relative importance of each criterion, then applied PROMETHEE method to make pairwise comparison of all the alternative channels that are capable to transmit the data and finally, the channels are ranked to determine the most suitable channel for forwarding the network traffic. The results obtained from the proposed research work helps to enhance the network throughput, to reduce the latency and to enhance the traffic transmission rate.