Wireless sensor networks have a wide range of uses that are unavoidable in modern society. The majority of these wireless sensor network applications will be used in locations where direct human involvement is not possible. Therefore, the little energy that these sensors have poses a risk to the longevity of the entire network. Wireless sensor networks are made up of a sizable number of interconnected sensor nodes that can communicate with one another and share information (and data). The term "sense of the environment" refers to a variety of target regions where sensors are situated. Data will then be transferred to the base station (BS) for analysis after being collected. It may be possible to lower the energy consumption of communications by adopting a routing strategy that is more energy efficient. The energy consumption is significantly high. The problem of effective batteries in sensor nodes is a difficulty for the researchers in ensuring smooth communication among sensor nodes. Frequent battery replacement or recharging in sensor nodes is a crucial operation that is not always possible. In this article proposed two new routing algorithms. Firstly, the NEEP algorithm, which use to initialize the node in the network. Secondly, the Minimum Node Cover algorithm, which use to reduce the power consumption of the network and also increase the battery power of the sensor. Finally, the study focuses on an overview of the various routing protocols that employ multi-hop and multipath approaches to speed up routing and cut down on energy use. The multi-hop and Multipath is suggested, and it is contrasted with the current approach based on the nodes' average energy and longevity matrices. The simulation investigation confirms that the suggested approach uses less energy than the current one.

Energy-efficiency, Routing Protocol, Sensor Nodes, NEEP Algorithm, Minimum Node Cover Algorithm