Security and energy efficient cyber-physical systems using predictive modeling approaches in wireless sensor network

As a result of recent advancements in electronics technology, wireless sensor networks (WSNs) may now make use of a vast array of tiny sensors (WSN). WSN are viewed as problematic networks because of the environments in which they may operate and the technology they rely on. For instance, routing protocols need to be prepared for and capable of recovering from unexpected events like node failures and packet losses. The dynamic nature of these routing environments necessitates that every WSN routing protocol have mechanisms for adapting to new conditions. In many applications, security affects performance and energy efficiency. To provide such security services, we require resilient key management techniques. Security Power Aware Routing-Salp Swarm Optimization (SPAR-SSO) protocol uses a unique cryptosystem. SPAR-SSO uses connection quality estimation and power aware routing to reduce power consumption and delay while increasing packet delivery ratio. WSNs must conserve energy because the nodes are battery-powered. If the route with the greatest energy savings is constantly chosen for delivery, the nodes along this route will be overused and drained quickly, leading to network partitioning. In SPAR-SSO, an optimal path to the sink node is chosen. This technology is interesting because to its ease in enterprise and tractability in network transportation administration to deliver integrated services. It delivers a collision-free medium and minimizes entire energy expended in attainment the terminus, dropping energy each unit or packet. Moreover, Salp Swarm Optimization (SSO) is applied to optimize the results. The Packet Delivery Ratio (PDR) and End to End Delay is used as parameters to compare the performance of SPAR-SSO protocol. The results are compared with existing results and presented the success of the proposed method. Results show the proposed algorithm is suitable and compatibility with cyber-physical systems.

Automated summary

Due to recent advancements in electronics technology, wireless sensor networks (WSNs) can now utilize a vast array of tiny sensors. WSNs are considered problematic networks because of their operating environments and reliant technology. The SPAR-SSO protocol provides security services, reduces power consumption and delay, and optimizes packet delivery ratio by using a unique cryptosystem, connection quality estimation, and power aware routing.