Energy Efficient WSN Clustering Using Cuckoo Search
Devershi Pallavi Bhatt, Yogesh Kumar Sharma, Anand Kumar Sharma · IOP Conference Series Materials Science and Engineering · 2021
Abstract A comprehensive range of applications exists for Wireless Sensor Networks (WSNs) have in today’s world. To name a few they are used in monitoring environmental parameters, condition of infrastructures, and related geophysical processes near to real-time, water quality monitoring, air pollution monitoring, etc. Wireless sensors can be placed in places that are difficult to human intervention for impossible to reach with a physical wired system. These WSNs, are low in power and computation so constructing an energy-effective data collecting protocol is a demanding issue. This is because all sensor nodes are usually provided with limited power sources. The development of an energy-efficient algorithm is the need of the hour as replacing the energy sources for the sensor nodes is a tedious task. Various clustering protocols have been proposed earlier but they suffer unbalanced energy problems and are not efficient enough to cater to the needs of these WSNs. To deal with this challenge, an improved algorithm using cuckoo-based search clustering protocol has been proposed in this research paper.