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论文类型：期刊论文

发表时间：2012-11-01

发表刊物：JOURNAL OF COMPUTER AND SYSTEM SCIENCES

收录刊物：SCIE、EI、Scopus

卷号：78

期号：6,SI

页面范围：1686-1702

ISSN号：0022-0000

关键字：Wireless sensor networks; Data aggregation; Ant colony optimization; Energy efficiency; Network lifetime

摘要：In energy-constrained wireless sensor networks, energy efficiency is critical for prolonging the network lifetime. A family of ant colony algorithms called DAACA for data aggregation are proposed in this paper. DAACA consists of three phases: initialization, packets transmissions and operations on pheromones. In the transmission phase, each node estimates the remaining energy and the amount of pheromones of neighbor nodes to. compute the probabilities for dynamically selecting the next hop. After certain rounds of transmissions, the pheromones adjustments are performed, which take the advantages of both global and local merits for evaporating or depositing pheromones. Four different pheromones adjustment strategies which constitute DAACA family are designed to prolong the network lifetime. Experimental results indicate that, compared with other data aggregation algorithms, DAACA shows higher superiority on average degree of nodes. energy efficiency, prolonging the network lifetime, computation complexity and success ratio of one hop transmission. At last. the features of DAACA are analyzed. (C) 2011 Elsevier Inc. All rights reserved.