Designing an Energy-Efficient Wireless Sensor Network Model for Effective Intruder Detection and Minimizing Energy Consumption

A new and exciting field of study known as WSNs has recently grown in prominence. The individual nodes that make up these networks are tiny, battery-operated gadgets that include sensors, CPUs, and mobile connectivity modules. When placed properly over a region, WSNs can detect and record changes in variables like moistness, illumination, tension, and vibration, among others. Wireless transmissions carry the gathered data to a centralized gateway or base station (BS), which then transmits it to a data center for more processing and analysis. In order for WSNs to be deployed and operated effectively, a number of obstacles must be overcome. The radius of coverage and the network’s capacity to gather data from faraway nodes are both impacted by communication range limits. Intruder detection requiring extra monitoring nodes is made possible by a network of wireless sensors protocol that is proposed in this section. The protocol identifies valid nodes and detects any intrusions by using acknowledgments rather than depending on specialized monitoring nodes. By using this route, we can guarantee efficient intrusion detection inside the network without wasting any additional resources. Hence, building a network with varying node density also boosts network lifetime and decreases energy use. Using different node densities improves intrusion detection, according to the simulation findings. In order to ensure the privacy and security of sensitive information, $\mathbf{C H}$ is crucial for identifying potential threats. When compared to SEP, LEACH, and TSEP, the proposed EERP model achieves $\mathbf{9 7 \%}$ in packet delivery rate and also better results in areas covered, energy efficiency, and intrusion detection.