Automatic Finite Deterministic Algorithm and PSO Based Secured Energy Efficient Routing in Wireless Sensor Network

Abstract

Economic sensor networks have always been a boon to disaster management applications due to their ease of setup. Communication is difficult for them due of their vulnerability to a variety of security dangers. This study presents a new routing strategy those guards against both external and internal threats such as hello flooding, eavesdropping, and wormhole attacks. To limit energy dissipation, this method employs a one-way hash chain. Event-driven clustering at the level also saves energy. The suggested technique extends network longevity even when the cluster-based wireless sensor network is under attack, according to simulated results. A 5G wireless sensor network (WSN) is a collection of self-contained nodes that monitor the environment. WSN design goals like as energy efficiency or secure data transmission are primarily measured. With the increasing difficulties of workstation networks, network-based attacks have drawn the attention of various academics from various domains. As a result, multiple intrusion detection systems (IDS) have been built to address various areas of complicated security, such as denial-of-service attacks, worms, viruses, malware, and so on. IDS automation has been designed to safely restore the realization of energy-efficient routing in wireless sensor networks. Intrusion detection and data transmission performed in a secure manner using automatic finite deterministic and particle swarm optimization (PSO) algorithms that determine and follow an optimum path. Routing along the optimal path can restore the overall appearance of a sensor network in wireless technology, and it can be managed using a variety of indicators (such as power expenditure, capacity, network life, active nodes and dead nodes). The threat model and safety objectives for secure routing in wireless networks are discussed in this paper. The simulation was carried out using the MATLAB simulation software.