Optimizing Multicast Routing in Mobile Ad-Hoc Networks using Multiple Fuzzy Systems Based Approach

Problem Definition

In mobile ad hoc networks (MANETs), routing is a significant challenge due to the mobile nature of nodes. Numerous routing protocols have been proposed to address this issue, but they have been found to have limitations. A literature review reveals that in the previous work, such as EFMMRP, fuzzy logic was used to calculate path trust based on three parameters: energy, delay, and bandwidth. While these parameters provide insight into the network's capabilities, they alone are not sufficient to accurately determine packet transmission behavior. This limitation necessitates the consideration of additional parameters to define packet transmission behavior more comprehensively.

Furthermore, the use of a single fuzzy system in the existing approach may not be able to handle a higher number of inputs, leading to potential system complexity. As such, there is a need to upgrade the existing system or adopt a new approach that can effectively manage a larger number of inputs to enhance the overall routing performance in MANETs.

Objective

The objective is to enhance routing performance in mobile ad hoc networks (MANETs) by addressing the limitations of existing routing protocols, such as EFMMRP, which do not comprehensively consider factors that define packet transmission behavior. This will be achieved by developing a new system, MFSMRP (Multiple fuzzy systems based Multicasting Routing Protocol), that can handle a larger number of parameters, including congestion and Packet Delivery Ratio (PDR), alongside energy, delay, and bandwidth. By employing two fuzzy logic systems to manage the increased parameters and calculating optimal paths based on weighted values from cost calculations, the proposed approach aims to improve routing efficiency in MANETs.

Proposed Work

In MANETs, routing poses a significant challenge due to the mobile nature of the nodes. Previous research has introduced various routing protocols, such as EFMMRP which utilized fuzzy logic to calculate path trust based on energy, delay, and bandwidth. However, this approach falls short as it does not consider factors that define packet transmission behavior. In order to address this limitation, a new system is needed that can handle a greater number of parameters. The proposed project aims to study multiple parameters and introduce a novel system, MFSMRP (Multiple fuzzy systems based Multicasting Routing Protocol), to enhance the performance of MANETs.

The proposed work involves expanding the parameters considered for routing by including congestion and Packet Delivery Ratio (PDR) alongside energy, delay, and bandwidth. To overcome the limitations of the existing single fuzzy system, MFSMRP will employ two fuzzy logic systems to handle the increased number of parameters. Fuzzy system 1 will handle delay, bandwidth, and energy inputs, while fuzzy system 2 will manage congestion and PDR. By calculating cost values using both fuzzy systems, the proposed approach will select the optimal path based on weighted values obtained from the cost calculations. This methodology intends to improve routing efficiency in MANETs by considering a broader range of parameters and utilizing multiple fuzzy systems for decision-making.

Application Area for Industry

This project can be used in various industrial sectors such as telecommunications, transportation, IoT, and military applications where Mobile Ad-hoc Networks (MANETs) are utilized. The proposed solutions of using multiple fuzzy logic systems to calculate path trust based on parameters like energy, delay, bandwidth, congestion, and Packet Delivery Ratio can address the specific challenges faced by these industries. For example, in telecommunications, ensuring efficient routing in mobile networks is crucial for reliable communication, and the enhanced parameters considered in this project can lead to better decision-making for routing paths. Similarly, in military applications where secure and reliable communication is essential, the novel approach of MFSMRP can provide more robust routing solutions based on multiple parameters. Overall, implementing these solutions can result in improved network performance, reduced delays, better resource utilization, and enhanced overall communication quality across various industrial domains utilizing MANETs.

Application Area for Academics

The proposed project can enrich academic research, education, and training by introducing a novel approach, the MFSMRP (multiple fuzzy systems based Multicasting Routing Protocol), which addresses the limitations of conventional routing protocols in Mobile Ad-Hoc Networks (MANETs). By incorporating additional parameters such as Congestion and Packet Delivery Ratio (PDR), the project aims to improve the efficiency of routing and packet transmission behavior in dynamic network environments. This research has the potential to contribute to innovative research methods and simulations within educational settings by introducing a new framework for multi-parameter routing protocol design. By utilizing two fuzzy logic systems to handle the increased number of parameters, the project offers a more comprehensive approach to route optimization and network performance evaluation. The relevance of this project lies in its application to the field of mobile networking and distributed systems, providing valuable insights for researchers, MTech students, and PhD scholars interested in enhancing routing protocols for MANETs.

The code and literature developed in this project can serve as a valuable resource for exploring new avenues in multi-parameter routing optimization and fuzzy logic-based decision-making in wireless networks. For future scope, the project could be extended to incorporate machine learning algorithms for dynamic routing adaptation and further optimization of network parameters. Additionally, the applicability of the MFSMRP approach could be tested in real-world MANET scenarios to evaluate its effectiveness in improving network reliability and performance.

Algorithms Used

Fuzzy Logics is used in the project to optimize routing in a network. The conventional system was found to be inefficient due to limited parameters and a single fuzzy system. The proposed work involves considering multiple parameters such as Energy, Delay, Bandwidth, Congestion, and Packet Delivery Ratio. This led to the development of a new approach called MFSMRP (multiple fuzzy systems based Multicasting Routing Protocol) capable of handling the increased parameters for efficient routing. In MFSMRP, two fuzzy logic systems are employed - one taking inputs of delay, bandwidth, and energy, while the other considers congestion and PDR.

Both systems calculate cost values, with the final routing decision based on weighted values derived from the costs. This approach improves accuracy and efficiency in network routing by effectively utilizing fuzzy logic to optimize path selection.

Keywords

MANETs, mobile nodes, routing protocols, path trust, energy, delay, bandwidth, packet transmission behavior, fuzzy logic, EFMMRP, quality output, parameters, system complexity, packet delivery behavior, congestion, PDR, Multicasting Routing Protocol, MFSMRP, fuzzy logic systems, cost values, optimal path, network efficiency, optimization techniques, network performance, quality of service, network congestion, routing algorithms, multicast communication, network protocols.

SEO Tags

MANETs, mobile nodes, routing protocols, EFMMRP, path trust, energy, delay, bandwidth, packet transmission behavior, fuzzy logic, multiple parameters, MFSMRP, Multicasting Routing Protocol, congestion, PDR, fuzzy systems, cost values, optimal path, network optimization, quality of service, optimization techniques, network protocols, network efficiency, routing optimization, network congestion, research topic, PHD, MTech, research scholar, network performance, multicast communication.