Search

Particle swarm optimization (PSO) is one of the most powerful methods for solving unconstrained and constrained global optimization problems. A cluster-structured PSO with interaction and adaptation is proposed in this paper, and the cluster structure, interaction, and adaptation of the proposed PSO are analyzed by numerical simulations. The feasibility and advantages of the proposed cluster-structured PSO are demonstrated by numerical simulations using some typical global optimization test problems. © 2011 Wiley Periodicals, Inc. Electron Comm Jpn, 94(11): 9-17, 2011; Published online in Wiley Online Library (). DOI 10.1002/ecj.10379 [ABSTRACT FROM AUTHOR]

This paper proposes a power-efficient access method by polling for wireless mesh networks, which is robust to channel variation due to movement in the surrounding communication environment. In the proposed method, all intermittent nodes periodically repeat ID transmission and a succeeding short period of the receiving state. A node having a packet to transmit goes into a continuous receiving state. Right after receiving an ID transmission from an arbitrary node, it transmits the packet to the node of the preceding ID transmission. In the conventional access method for wireless mesh network, a transmitting node specifies a receiving node well ahead of transmission, leading to a possible change in the wireless link quality at the time of packet transmission from the time of receiving node determination. The proposed access method is robust to wireless channel variation, in the sense that a transmitting node chooses a receiving node just before transmitting the packet. Simulation results show its robustness to wireless channel variations. In the proposed access method, an entire network consumes about one-sixth the power of a network using the conventional method. © 2011 Wiley Periodicals, Inc. Electron Comm Jpn, 94(4): 20-27, 2011; Published online in Wiley Online Library (). DOI 10.1002/ecj.10309 [ABSTRACT FROM AUTHOR]