ACO-based routing algorithm for wireless sensor networks (ARAWSN)

Hua Wei Liang, Wan Ming Chen, Shuai Li, Tao Mei, Qing Hu Meng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

19 Citations (Scopus)


How to get high efficient data routing for the limited energy resource networks is an important problem in the study of the wireless sensor networks. Appling the Ant Colony Optimization Algorithm (ACO) on the routing of wireless sensor networks, we proposed an ACO-based routing algorithm for wireless sensor networks called ARAWSN. The algorithm utilized the self-organization, self-adaptability and dynamic optimization capabilities of the Ant Colony to build and maintain the optimal network path. It adopted the conception of Stigmergy to minimize the flow number of the control information and achieve high efficient data transitions for the network. In our experiment, the average time delay using the ACO-based routing algorithm is comparative to that of Directed Diffusion (DD) algorithm but has notable effect in the energy cost of routing compared to DD algorithm. In addition , this algorithm also has good dependability and high adaptability. And it can also achieve congestion control and energy balance for wireless sensor networks if needed.
Original languageEnglish
Pages (from-to)2450-2455
Number of pages6
JournalChinese Journal of Sensors and Actuators
Issue number11
Publication statusPublished - 1 Nov 2007
Externally publishedYes


  • Ant colony optimization
  • Network route
  • Routing algorithm
  • Wireless sensor network

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering


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