Clustering Opportunistic Ant-based Routing Protocol for Wireless Sensor Networks
X. Li, B. Keegan, F. Mtenzi
The wireless Sensor Networks (WSNs) have a wide range of applications in many areas, 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 protoco (COAR), which comprises the following main contributions to achieve high energy efficient and well load-balance: (i) in the clustering algorithm, we calculate 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.