Abstract
Wireless mobile networks still need reliable traffic performance, link connectivity, and consistent terminal mobility with Call Admission Control (CAC) to obtain best services of mobile communication and data transmission. Generally, mobile networks contain base stations (BTS), mobile hosts (MH), links, etc. that are often vulnerable to failure. The main objective of this research is to choose the least figure of potential positions to deploy base stations with proper channel allocation so that it should be covered maximum population density. According to do this, a multi-objective function is proposed to enhance the Quality of Services (QoS) in terms of continuous service availability. Particularly, a channel allocation scheme is presented to minimize the call dropping probabilities. This multi-objective function is combined with a Grey Wolf optimizer (GWO) to address this problem. In this GWO based scheme, an efficient fitness function and GWO operators are used to represent the systematic solution of the channel allocation problem. This model is tested with two different mobility scenarios, one is random mobility, where each position is represented by the grid cross position and second is based on uniform mobility where the potential position is deployed uniformly. This model efficiently manage and uses the reserved radio resources to control the call failure rate or call dropping probability. The experimental results compared with some existing methods to illustrate the efficiency of the proposed scheme.
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Kumar, S., Gaur, M.S. (2020). Call Admission Control in Mobile Multimedia Network Using Grey Wolf Optimization. In: Solanki, V., Hoang, M., Lu, Z., Pattnaik, P. (eds) Intelligent Computing in Engineering. Advances in Intelligent Systems and Computing, vol 1125. Springer, Singapore. https://doi.org/10.1007/978-981-15-2780-7_27
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DOI: https://doi.org/10.1007/978-981-15-2780-7_27
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