Impact of Attacks on Performance and Energy Consumption in Wireless Sensor Network

In the new technology of the Internet of Things (IoT), the integration of 5G networks and wireless sensor networks (WSNs) are crucial for a wide range of applications. Thousands of sensors are often used in wireless sensor network platforms, which are powered by limited energy resources. The energy consumption of sensor nodes is the most critical issue in a wireless sensor network since it has a direct influence on the network’s lifetime. Since wireless sensor network is primarily used to gather information from the environment, it is essential to keep sensitive data safe from unauthorized users. Due to the broadcast nature of radio transmission, sensor nodes are subject to different security attacks. This form of attack may decrease the sensor lifetime from years to days, and have a severe impact on a sensor network. This paper proposes a Detect and Compare Packet Nonce (DCPN) algorithm and Packet Count Detection (PCD) algorithm for wireless sensor networks. These algorithms efficiently identify and isolate attacks like wormhole and replay attacks while avoiding possible service degradation like energy consumption in sensor nodes. The simulation results show that our mechanism can outperform existing techniques in terms of energy consumption. By applying these algorithms, we achieved a maximum energy saving of 33% per hour. Finally, the study also shows the temperature monitoring of some mobile sensor nodes.