Natural algorithm based adaptive architecture for underwater wireless sensor networks

• Published in: 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) pp. 2343 - 2346
• Main Authors: Sofi, Shabir Ahmad, Mir, Roohie Naaz
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.03.2017
• Subjects: Adaptive Protocol; Base stations; Batteries; Cluster; Clustering algorithms; Cuckoo Algorithm; Energy Efficient WSN; Natural Algorithm; Peer-to-peer computing; Protocols; Routing; Underwater Wireless Sensor Networks; Wireless sensor networks
• DOI: 10.1109/WiSPNET.2017.8300179

In Underwater Wireless Sensor Network (UWSN) there are many challenges and one of the major challenge is limited battery power. In UWSN it is not possible to recharge or replace the batteries. Also signal attenuation under water is more as compared to the terrestrial WSN. Therefore for the same distance and amount of data we need to use more power to push the signal on the surface of the water as compared to the terrestrial Wireless Sensor Network (WSN). The scenario is further worsen by the fact that in some cases due to water current etc. there is frequent change in the position and location of the nodes with respect to the cluster head or other nodes. Due to the above reasons the routing in UWSN should be energy efficient and adaptive to the changes in the network. This paper proposes an adaptive architecture which is based on the natural algorithms to keep the nodes connected even if they get away from their cluster and a dedicated cluster head named as advanced node is used to overcome the additional power requirements due to the signal attenuation.