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Energy balance is an important performance index in the design of routing algorithm for wireless sensor networks. A swarm intelligence optimization based routing algorithm for wireless sensor networks is proposed, whose kernel idea is taking less hop numbers into consideration and choosing the nodes with less pheromone as next hop to avoid some nodespsila(More)
To reduce the energy consumption and prolong wireless sensor networks lifetime, a code adaptation control algorithm incorporating information correlation characters and Monte Carlo method is proposed. To identify the data frame types correctly, four communication models are proposed. This approach reduced communication channel load evidently and(More)
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