End-to-End Delay Minimization in Multi-Channel, TDMA Wireless Sensor Networks by Particle Swarm Optimization
2018 International Conference on Advances in Computing and Communication Engineering (ICACCE)(2018)
摘要
Many Smart City, Internet of Things (IoT) applications would require wireless multi-hop, data collecting networks with low latency and high throughput. Optimal use of multi-channels and timeslots has the potential to achieve such network performance. Finding scheduling allocation of multiple channels and time slots for optimal end-to-end delay in multihop networks is an NP-complete problem. Particle Swarm Optimization (PSO) is a fast, scalable technique to find near-optimal scheduling solution for this problem. This paper addresses some deficiencies of the existing PSO based end-to-end delay minimization problem in wireless sensor networks. An upgraded PSO modeling is proposed and the performance improvements are presented through simulations. Two other capacity enhancement solutions (Non-Orthogonal Multiple Access, Multiple Interfaces) are also simulated using proposed approach and their corresponding performance results are investigated.
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关键词
PSO,Wireless Networks,End-to-end delay,optimal Scheduling
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