Clustering opportunistic ant-based routing protocol for wireless sensor networks

Xinlu Li, Brian Keegan, Fredrick Mtenzi

Research output: Contribution to journalConference articlepeer-review


The wireless Sensor Networks (WSNs) have a wide range of applications in many ereas, including many kinds of uses such as environmental monitoring and chemical detection. Due to the restriction of energy supply, the improvement of routing performance is the major motivation in WSNs. We present a Clustering Opportunistic Ant-based Routing protocol (COAR), which comprises the following main contributions to achieve high energy efficient and well load-balance: (i) in the clustering algorithm, we caculate the theoretical value of energy dissipation, which will make the number of clusters fluctuate around the expected value, (ii) define novel heuristic function and pheromone update manner, develop an improved ant-based routing algorithm, in this way, the optimal path with lower energy level and shorter link length is established, and (iii) propose the energy-based opportunistic broadcasting mechanism to reduce the routing control overhead. We implement COAR protocol in NS2 simulator and our extensive evaluation shows that COAR is superior to some seminal routing algorithms under a wide range of scenarios.

Original languageEnglish
JournalProceedings of Science
Publication statusPublished - 2017
Externally publishedYes
Event7th International Conference on Computer Engineering and Networks, CENet 2017 - Shanghai, China
Duration: 22 Jul 201723 Jul 2017


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