Wireless sensor networks, as homogeneous as well as heterogeneous networks of sensors with the ability to sense, process, and communicate, have been increasingly used in various fields, including engineering, health, and the environment, to intelligently monitor remote locations at low cost. Sensors in such networks are responsible for four major tasks: data aggregation, sending and receiving data, and in-network data processing. This paper proposed a dual probability-based function for the optimization of energy in wireless sensor networks. The proposed algorithm works as a fashion of energy in three levels, such as high level, middle level, and low level. The measured energy level connects with lower to upper and upper to lower as modes of active and passive communication and reduces the impact of energy loss during the communication. The proposed algorithms simulate in the MATLAB environment with different simulation scenarios and estimate standard parameters for the evolution of results. The comparative analysis of results suggests that the proposed algorithm is more efficient than existing algorithms.

WSN, Energy Efficient, Probabilistic Model