Energy Efficient and QoS Aware Trustworthy Routing Protocol for Manet Using Hybrid Optimization Algorithms

Abstract

The potential for wireless mobile computing applications has significantly increased in recent years thanks to advancements in wireless communication and internet service technology. A collection of mobile nodes that can be randomly arranged and created without the aid of any pre-existing network architecture or centralised administration is known as a Mobile Ad hoc Network (MANET). Mobile devices in this network rely on battery power, so it's critical to reduce their energy usage. Furthermore, communication with them is difficult due to their susceptibility to several security risks. As a result, the research suggested a reliable routing protocol that is both energy-efficient and QoS-aware. Levy Flight-centred Shuffled Shepherd Dynamic Source Routing (LF-SSO-DSR) protocol is used in the route discovery scheme's first stages to find the best way out of a group of options chosen based on QoS criteria. Additionally, hybrid Firefly and Whale Optimization Algorithms (FFWHO) are used to handle high energy consumption and discover the ideal values and fit function for the goal parameter (i.e., energy). WOA conducts a global search, but later on, in the algorithm, it conducts a local search, which can successfully find the routing path that complies with the QoS requirements. The security challenges in MANETS present the most difficult assignment. The reliability of each mobile node is assessed by taking into account factors such as the node's location, mobility speed, energy use, number of involved transmissions, neighbour list, etc. The research project then suggested the Intelligent Dynamic Trust (IDT) paradigm as a means of supplying security in wireless networks. For secure routing in mobile ad hoc networks, this paradigm combines beta reputation trust and dynamic trust. Network Simulator 3.36 software was used to conduct the performance analysis. Several performance metrics, including throughput, energy consumption, packet delivery ratio, jitter, end-to-end delay, packet loss rate, detection rate, and routing overhead, are used to assess the suggested approach. This outcome shows that the suggested strategy works better than other cutting-edge approaches respectively.