Integrated Load Balancing and Void Healing Routing with Cuckoo Search Optimization Scheme for Underwater Wireless Sensor Networks
- 33 Downloads
In underwater wireless sensor networks, routing play a vital role in selecting an optimal path for packet forwarding. In routing scheme, most of the existing work is suffering from both load balancing and void node issue. This is due to the environmental interference, overloaded data, energy depletion, random deployment and mobility of the nodes. However, it causes loss of packet, high energy depletion and bad network quality. We have resolved this issue by implementing load balancing and void healing routing using cuckoo search optimization (CSO) scheme. In this scheme, first we placed the parent node and identify their child node within the transmission range in each level of the network. Then, we applied load balancing with priority based packet forwarding to maintain the uneven distribution of the load and reduces the end-to-end delay. Next, void healing routing with CSO scheme is addressed to recover the convex and concave void issue in the network. A novel multi-objective fitness function is also formulated for selecting the optimal number of nodes. In packet routing, each child node is responsible for receiving the packets from their neighbor nodes and transferred to the parent node. After receiving the packets at parent node, autonomous underwater vehicle is used for collecting the relevant packets from each parent node through minimum travelling time and send towards the base station. The performance evaluation of proposed scheme shows better network quality, packet delivery ratio, less energy consumption and delay over the existing solutions.
KeywordsAutonomous underwater vehicle Cuckoo search optimization Load balancing Priority Void healing routing Underwater wireless sensor networks
Compliance with Ethical Standards
Conflict of interest
On behalf of all authors, the corresponding author states that there is no conflict of interest.
- 6.Rahim, S. S., Ahmed, S., Javaid, N., Khan, A., Siddiqui, N., Hadi, F., et al. (2019). Scalability analysis of depth-based routing and energy-efficient depth-based routing protocols in terms of delay, throughput, and path loss in underwater acoustic sensor networks. In M. A. Jan, F. Khan, & M. Alam (Eds.), Recent trends and advances in wireless and IoT-enabled networks (pp. 171–185). Cham: Springer.CrossRefGoogle Scholar
- 19.Qiuli, C., Wei, X., Fei, D., & Ming, H. (2018). A reliable routing protocol against hotspots and burst for UASN-based fog systems. Journal of Ambient Intelligence and Humanized Computing,10, 1–13.Google Scholar
- 20.Javaid, N., Ahmad, Z., Sher, A., Wadud, Z., Khan, Z. A., & Ahmed, S. H. (2018). Fair energy management with void hole avoidance in intelligent heterogeneous underwater WSNs. Journal of Ambient Intelligence and Humanized Computing,10, 1–17.Google Scholar