Abstract

The desire to remain connected no matter where you are, when you want to be connected, or how you want to be connected has been a driving force behind the development of wireless networks, in particular in the field of persistent and ubiquitous computing. This need can be satisfied in a number of different ways. The Mobile Ad-hoc networks made up of a collection of nodes, each of which is equipped with wireless networking and communication capabilities. There may be any number of these nodes. It is not necessary to involve a central administrator in order for these nodes to communicate with one another since they may do so independently. Ad hoc networks also often referred to as infrastructure-less networks since they do not have a present topology or infrastructure. This is because ad hoc networks do not have a predetermined topology or infrastructure. Because each node in the wireless ad-hoc network functions as either a host or a router or both, In order to prevent unauthorized parties from accessing the data, it is essential to have developed secure and reliable routing protocols. The work that is presented in this proposed work is an attempt to develop an ad-hoc routing protocol that is safe and robust. The protocol in question called Energy Efficient Wireless Path Optimization (EEWPO). The dynamic route selection mechanism, which is based upon genetic programming, and the connection integrity assurance algorithm have been combined within the framework of the proposed model routing scheme for wireless ad-hoc networks to produce a routing-based mechanism that is secure, flexible, and robust. This is accomplished by combining the two mechanisms within the framework of the proposed model routing scheme. These two aspects are going to work together to form the foundation of this plan. The new combination has the ability to give a higher degree of security to the current network, hence reducing the likelihood that vulnerabilities in connection and fake route injections would be exploited. When it comes to speech-based ad-hoc networks, which need dedicated connections for the exchange of voice data over an ad-hoc channel, intelligent route selection throughout the multipath network becomes very important. This is because the transmission of speech data is essential to the functioning of these networks. In order to materialize the robust ad-hoc routing algorithm, the generation of the adaptive ad-hoc network routing solution requires the ideally layered combination of the genetic programming-based routing solution along with the connection integrity assurance model. Only then can the adaptive ad-hoc network routing solution be created. The effectiveness of the recommended routing protocol has been shown via testing in a number of different simulated situations.

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