Metaheuristic techniques for cluster selection in WSN

Wireless Sensor Networks (WSN) is generally used in monitoring and controlling specific environments. Low-priced sensor nodes are used to form the WSN and are kept distributed in a dense manner in the environment. Collecting information and forwarding it to a Base Station (BS) is the chief function of a sensor node. New trends show that the importance and relevance of WSNs has widened and improved significantly. The biggest disadvantage of such type of network is its limited energy resources. To improve the lifetime of these networks a suitable method namely clustering is used which saves energy thus protecting the limited sensor resources. Meta-heuristic algorithms are popularly used for clustering of WSNs. In more complex problems calculating a huge amount of possible modes is carried out to find the most precise answer. In the current work, the selection of clustering protocols in WSNs is examined. The chosen clustering techniques have their basis in metaheuristic protocols.