The team work is always required for a successful implementation of the experimental methods. A remote sensor organization, collaboration among different sensors is fundamental when it executes applications which comprise of many works. Most of the studies in this field focused on energy investment and load adjustment. Imbalance load distribution among nodes consume more energy than balance load. The term imbalance refers to the uneven distribution of data into classes that severely affects the performance of traditional classifiers, because of this classifiers become biased towards the class which has large amount of data. The data generated from wireless sensor networks the several imbalances. For same type resource applications many protocols have already been investigated. This paper proposes a better energy clustering routing meta-heuristic protocol (OCRP-WL) for conveying typical loads in clustered remote sensor organizations. This protocol is apportioned into different stages. First stage work is assigned to different sensing points to reduce the energy requirement in different nearby clusters, in later stage proper management of balanced load and energy distribution is compiled within same cluster. This proposed work is a decent analysis of imbalance issue for wireless sensor networks.