Research on Uneven Clustering APTEEN in CWSN Based on Ant Colony Algorithm

• Main Authors: Caiqing Wang, Shubin Wang
• Format: Article
• Language: English
• Published: IEEE 2019-01-01
• Series: IEEE Access
• Subjects: Cognitive wireless sensor network; APTEEN; ant colony algorithm; EEUC algorithm
• Online Access: https://ieeexplore.ieee.org/document/8888277/

In this paper, APTEEN is applied to cognitive wireless sensor networks, and an ant colony-based uneven clustering APTEEN algorithm (ACUCAPTEEN) is proposed. The algorithm combines routing and spectrum allocation with cross-layer design method, improves energy efficient uneven clustering protocol and introduces it to APTEEN, and uses ant colony algorithm to complete inter-cluster path search, which reduces the task of cluster head. In the candidate cluster head selection process, the residual energy is not considered and the competition radius is fixed, so that the nodes with many idle channels but low residual energy become cluster heads, and the cluster heads far away from the base station still have more intra-cluster tasks with less residual energy. For these problems, an optimized ACUCAPTEEN algorithm(OACUCAPTEEN) is proposed to optimize the candidate cluster heads, the residual energy is taken as a factor of the candidate cluster head probability, and the competition radius is optimized. The simulation results show that the ACUCAPTEEN algorithm and optimization algorithm can reduce the node death rate and extend the network life cycle.