Decentralized Routing Protocol for Mobile Adhoc Networks Using Moth Flame Optimization

Problem Definition

Problem Description: Despite their advantages, mobile ad-hoc networks face various challenges due to their dynamic nature and lack of centralized control. One major problem is the lack of uninterrupted communication caused by dynamic changes in the network topology, which can lead to disruptions in data transmission. Traditional routing protocols may not be able to adapt quickly enough to these changes, resulting in communication failures or delays. Furthermore, the uncertainties in ad-hoc network environments, such as unpredictable node mobility and interference, can further exacerbate these issues. Existing routing protocols may not be equipped to effectively handle these uncertainties, leading to suboptimal routing decisions and degraded network performance.

In order to address these challenges and ensure uninterrupted communication in mobile ad-hoc networks, a decentralized routing protocol is needed that can dynamically adapt to changing network conditions and effectively handle uncertainties. By incorporating a decision model based on the Moth Flame Algorithm (MFO), which is known for its ability to handle uncertainties, the proposed protocol aims to improve the reliability and efficiency of routing decisions in ad-hoc networks.

Proposed Work

The proposed work aims to address the challenges faced by wireless ad-hoc networks through the development of a decentralized routing protocol for uninterrupted communication. The project leverages the decentralized nature of ad-hoc networks to improve scalability and reliability, making them suitable for emergency situations like natural disasters or military conflicts. By implementing the Moth Flame Algorithm (MFO) based decision model, the protocol will increase the number of decision parameters and handle uncertainties that traditional fuzzy inference systems struggle with. The use of modules such as a Regulated Power Supply, DTMF Signal Decoder, LEDS, Robotic Arm, and Bluetooth Receiver, in conjunction with the Routing Protocol WRP, will enhance the performance and efficiency of the network. This research falls under the categories of Latest Projects, MATLAB Based Projects, and Optimization & Soft Computing Techniques, specifically focusing on Swarm Intelligence and Routing Protocols Based Projects.

By advancing the capabilities of ad-hoc networks, this work contributes to the field of wireless research and has implications for various real-world applications.

Application Area for Industry

This project's proposed solutions can be applied in various industrial sectors, including emergency response, military operations, transportation, and communication infrastructure. In emergency response scenarios, such as natural disasters, the decentralized routing protocol can ensure uninterrupted communication between first responders and coordination centers, even in the face of dynamic network changes. In military operations, the protocol can enhance communication reliability and efficiency, supporting mission-critical tasks in challenging environments. In the transportation sector, the protocol can improve the communication infrastructure for vehicle-to-vehicle and vehicle-to-infrastructure communication, increasing safety and efficiency on the roads. Additionally, in communication infrastructure, the protocol can be used to optimize network performance and reliability, ensuring seamless connectivity for users in urban and rural areas.

The specific challenges that these industrial sectors face, such as the need for reliable and efficient communication in dynamic and uncertain environments, can be addressed by the proposed decentralized routing protocol. By dynamically adapting to changing network conditions and effectively handling uncertainties, the protocol can improve the reliability of communication, reduce delays, and optimize routing decisions. Implementing these solutions can ultimately lead to increased operational efficiency, cost savings, and improved safety in various industrial domains.

Application Area for Academics

The proposed project on developing a decentralized routing protocol for mobile ad-hoc networks has significant relevance and potential applications for MTech and PhD students in their research endeavors. This innovative project addresses the challenges faced by dynamic ad-hoc networks, such as interruptions in communication and suboptimal routing decisions due to uncertainties and lack of centralized control. MTech and PhD students can leverage this project for conducting research in the field of wireless communication, optimization, and soft computing techniques. By utilizing the Moth Flame Algorithm (MFO) decision model and incorporating modules like Regulated Power Supply and Bluetooth Receiver, researchers can explore new avenues in Swarm Intelligence and Routing Protocols Based Projects. This project offers a unique opportunity for students to investigate advanced networking technologies and develop novel solutions for enhancing the performance and reliability of ad-hoc networks.

The code and literature from this project can serve as valuable resources for crafting dissertations, theses, and research papers in the domains of wireless research and optimization techniques. Moving forward, the future scope of this project includes further enhancing the protocol's capabilities and exploring its applicability in real-world scenarios, thus opening up avenues for cutting-edge research in wireless communication systems.

Keywords

mobile ad-hoc networks, decentralized routing protocol, uninterrupted communication, dynamic changes, network topology, data transmission, Moth Flame Algorithm (MFO), uncertainties, node mobility, interference, routing protocols, suboptimal routing decisions, network performance, scalability, reliability, emergency situations, natural disasters, military conflicts, fuzzy inference systems, Regulated Power Supply, DTMF Signal Decoder, LEDS, Robotic Arm, Bluetooth Receiver, Routing Protocol WRP, Latest Projects, MATLAB Based Projects, Optimization & Soft Computing Techniques, Swarm Intelligence, wireless research, real-world applications.