@Article{iasc.2022.022270,
AUTHOR = {D. Nageswari, R. Maheswar, P. Jayarajan},
TITLE = {OA-PU Algorithm-to Enhance WSN Life Time with Cluster Head Selection},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {33},
YEAR = {2022},
NUMBER = {2},
PAGES = {711--727},
URL = {http://www.techscience.com/iasc/v33n2/46744},
ISSN = {2326-005X},
ABSTRACT = {Clustering is the most popular strategy for increasing the lifetime of a wireless sensor network, which immediately leads to a stronger routing process. This process requires the processing of sensor nodes into clusters and assigning relevant cluster heads to each cluster. This paper aims to implement a new hybrid algorithm called Over taker Assisted Political Update (OA-PU) for selecting an efficient cluster head. This cluster head is selected based upon four factors, namely energy, distance, cluster radius, and time. The hybrid algorithm is a combination of the Fusion Rider Optimization Algorithm (F-ROA) as well as a nature-inspired Political Optimization Algorithm (PO). Fusion-ROA depends on groups of riders that are attempting to reach the goal and PO is a state of the art meta-heuristic optimization methodology for global and structural analysis performance prediction in the WSN environment. In terms of alive node analysis, cost function analysis, and energy analysis, the proposed OA-PU outperforms conventional approaches. Consequently, the lifetime of WSN is increased and an optimal system is developed.},
DOI = {10.32604/iasc.2022.022270}
}