A New Method for Multi-objective TDMA Scheduling in Wireless Sensor Networks Using Pareto-Based PSO and Fuzzy Comprehensive Judgement

Tao Wang; Zhiming Wu; Jianlin Mao

doi:10.1007/978-3-540-75444-2_19

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A New Method for Multi-objective TDMA Scheduling in Wireless Sensor Networks Using Pareto-Based PSO and Fuzzy Comprehensive Judgement

Tao Wang Zhiming Wu Jianlin Mao

Year: 2007 Lecture notes in computer science Pages: 144-155 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-540-75444-2_19

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Keywords:

Computer science Time division multiple access Particle swarm optimization Wireless sensor network Scheduling (production processes) Pareto principle Mathematical optimization Fuzzy logic Energy consumption Network packet Evolutionary algorithm Real-time computing Algorithm Computer network Artificial intelligence Mathematics

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Energy Efficient Wireless Sensor Networks

Physical Sciences → Computer Science → Computer Networks and Communications

Advanced Multi-Objective Optimization Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

Distributed Control Multi-Agent Systems

Physical Sciences → Computer Science → Computer Networks and Communications

A New Method for Multi-objective TDMA Scheduling in Wireless Sensor Networks Using Pareto-Based PSO and Fuzzy Comprehensive Judgement

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