TY - GEN
T1 - Swarm intelligence for the self-organization of wireless sensor network
AU - Wang, Rui
AU - Liang, Yan
AU - Ye, Gangqiang
AU - Lu, Chaoxia
AU - Pan, Quan
PY - 2006
Y1 - 2006
N2 - In wireless sensor networks (WSN), it is a fundamental issue to balance two conflicted performance indexes: sensing ability and energy cost, via the self-organization (SO). Here each sensor node in the WSN is mapped to an ant in ant colony system and node communication information is modeled by the current pheromone. The SO problem of the WSN is transformed to the swarm intelligence optimization problem of ant colony. If an ant detects an interested target, it will lay pheromone, which can diffuse in its neighbor zone. The accumulated pheromone is calculated to adaptively and distributively determine the waking probability of the ant so that the self organization of the WSN can be implemented automatically. Hence a new swarm intelligence method for the SO of WSN is proposed. The simulations show the effectiveness of our method.
AB - In wireless sensor networks (WSN), it is a fundamental issue to balance two conflicted performance indexes: sensing ability and energy cost, via the self-organization (SO). Here each sensor node in the WSN is mapped to an ant in ant colony system and node communication information is modeled by the current pheromone. The SO problem of the WSN is transformed to the swarm intelligence optimization problem of ant colony. If an ant detects an interested target, it will lay pheromone, which can diffuse in its neighbor zone. The accumulated pheromone is calculated to adaptively and distributively determine the waking probability of the ant so that the self organization of the WSN can be implemented automatically. Hence a new swarm intelligence method for the SO of WSN is proposed. The simulations show the effectiveness of our method.
UR - http://www.scopus.com/inward/record.url?scp=34547349840&partnerID=8YFLogxK
M3 - 会议稿件
AN - SCOPUS:34547349840
SN - 0780394879
SN - 9780780394872
T3 - 2006 IEEE Congress on Evolutionary Computation, CEC 2006
SP - 838
EP - 842
BT - 2006 IEEE Congress on Evolutionary Computation, CEC 2006
T2 - 2006 IEEE Congress on Evolutionary Computation, CEC 2006
Y2 - 16 July 2006 through 21 July 2006
ER -