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Computer Science > Networking and Internet Architecture

arXiv:1201.0119 (cs)
[Submitted on 30 Dec 2011]

Title:Energy Efficient Ant Colony Algorithms for Data Aggregation in Wireless Sensor Networks

Authors:Chi Lin, Guowei Wu, Feng Xia, Mingchu Li, Lin Yao, Zhongyi Pei
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Abstract:In this paper, a family of ant colony algorithms called DAACA for data aggregation has been presented which contains three phases: the initialization, packet transmission and operations on pheromones. After initialization, each node estimates the remaining energy and the amount of pheromones to compute the probabilities used for dynamically selecting the next hop. After certain rounds of transmissions, the pheromones adjustment is performed periodically, which combines the advantages of both global and local pheromones adjustment for evaporating or depositing pheromones. Four different pheromones adjustment strategies are designed to achieve the global optimal network lifetime, namely Basic-DAACA, ES-DAACA, MM-DAACA and ACS-DAACA. Compared with some 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 we analyze the characteristic of DAACA in the aspects of robustness, fault tolerance and scalability.
Comments: To appear in Journal of Computer and System Sciences
Subjects: Networking and Internet Architecture (cs.NI)
MSC classes: 68M14
ACM classes: C.2
Cite as: arXiv:1201.0119 [cs.NI]
  (or arXiv:1201.0119v1 [cs.NI] for this version)
  https://doi.org/10.48550/arXiv.1201.0119

Submission history

From: Feng Xia [view email]
[v1] Fri, 30 Dec 2011 12:51:14 UTC (399 KB)
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