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

In wireless sensor networks with many-to-one transmission mode, a multi-objective TDMA (Time Division Multiple Access) scheduling model is presented, which concerns about the packet delay and the energy consumed on node state transition. To realize the scheme, a mapping between the problem and evolutionary algorithm is reasonably set up. A multi-objective particle swarm optimization based on Pareto optimality (PAPSO) is then proposed to solve such multi-objective optimization problem and find a better tradeoff between time delay and energy consumption. The simulation results validate the effectivity of PAPSO algorithm and also show that PAPSO outperforms other techniques in the literature.

• Type: Conference
• Year: 2007
• Where: HPCC
• Authors: Tao Wang, Zhiming Wu, Jianlin Mao
• Keywords: Distributed And Parallel Computing, HPCC 2007, Many-to-one Transmission Mode, Time Division Multiple Access, Wireless Sensor Networks