MANET Projects examples using omnet++

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Given below are numerous examples of Mobile Ad Hoc Network (MANET) projects that we can explore using OMNeT++:

Performance Analysis of AODV in MANETs

Description: Mimicking the Ad hoc On-Demand Distance Vector (AODV) routing protocol in a MANET situation to evaluate its performance under several network conditions.

Key Features:

Execution of the AODV protocol, comprising route discovery and maintenance mechanisms.
To emulate the network scenarios with various node densities, mobility patterns, and traffic loads.
Examine of metrics like packet delivery ratio, end-to-end delay, routing overhead, and path optimality.

Tools & Frameworks:

INET Framework: Supports AODV and other ad hoc routing protocols, creating it appropriate for MANET simulations.

Comparison of DSR and OLSR Routing Protocols in MANETs

Description: Likening the act of Dynamic Source Routing (DSR) and Optimized Link State Routing (OLSR) protocols in a MANET environment.

Key Features:

Execution of both DSR (a reactive protocol) and OLSR (a proactive protocol).
To mimic the various mobility models like Random Waypoint, Gauss-Markov and changing network conditions.
Evaluation of the metrics such as throughput, latency, routing overhead, and packet delivery ratio.

Tools & Frameworks:

INET Framework: Contains support for both DSR and OLSR routing protocols.

Energy-Efficient Routing in MANETs

Description: Emerging and assessing energy-efficient routing protocols in MANETs to expand the battery life of mobile nodes and enhance overall network longevity.

Key Features:

Execution of energy-aware routing algorithms, like Minimum Battery Cost Routing (MBCR) or Power-Aware Routing.
Emulation of scenarios with changing node energy levels, traffic patterns, and mobility speeds.
Investigation of network lifetime, energy consumption, and trade-offs among energy efficiency and communication performance.

Tools & Frameworks:

INET Framework or Custom Modules: Use INET for simple simulations or improve custom energy-efficient routing protocols.

Security in MANETs: Simulation of Secure Routing Protocols

Description: Examining the execution and performance of secure routing protocols in MANETs to defend versus attacks like black hole, gray hole, or wormhole attacks.

Key Features:

Execution of secure routing protocols such as Secure AODV (SAODV) or ARAN (Authenticated Routing for Ad hoc Networks).
To mimic the attack scenarios and testing of the impact on network performance.
Estimation of security overhead, packet delivery ratio, and robustness versus attacks.

Tools & Frameworks:

INET Framework with Security Extensions: Incorporate or improve modules focused on secure routing in MANETs.

QoS-Aware Routing in MANETs

Description: Mimicking Quality of Service (QoS)-aware routing protocols in MANETs to make sure reliable and effective communication for real-time applications such as VoIP and video streaming.

Key Features:

Execution of QoS-aware routing protocols that focus traffic based on bandwidth, delay, jitter, and packet loss.
Emulation of mixed traffic kinds with changing QoS requirements.
To calculate the enactment in terms of QoS metrics, network throughput, and resource allocation efficiency.

Tools & Frameworks:

INET Framework with QoS Extensions: Assists QoS-aware routing and offers tools for mimicking MANETs with QoS requirements.

Impact of Mobility Models on MANET Routing Protocols

Description: Examining the effect of various mobility models on the enactment of routing protocols in MANETs.

Key Features:

Execution of several mobility models like Random Waypoint, Gauss-Markov, and Manhattan Grid.
Emulation of routing protocols such as AODV, DSR, and OLSR under various mobility scenarios.
Study of metrics such as route stability, packet delivery ratio, and network latency.

Tools & Frameworks:

INET Framework: Assists numerous mobility models and routing protocols, creating it appropriate for this kind of analysis.

Cluster-Based Routing in MANETs

Description: Executing and mimicking cluster-based routing protocols where nodes in a MANET are gathered into clusters to expand scalability and routing effectiveness.

Key Features:

Execution of cluster-based protocols such as CBRP (Cluster-Based Routing Protocol) or LEACH.
To emulate the cluster formation, cluster head selection, and intra/inter-cluster communication.
To calculate the metrics in terms of energy efficiency, network scalability, and routing overhead.

Tools & Frameworks:

INET Framework with Custom Modules: Improve INET to contain cluster-based routing protocols for MANETs.

Load Balancing in MANETs

Description: Emerging and estimating load-balancing methods in MANETs to allocate traffic evenly through the network, avoiding congestion and enhancing overall performance.

Key Features:

Execution of load-balancing algorithms that consider node capacity, link quality, and traffic conditions.
Emulation of network scenarios with changing traffic patterns and node densities.
Examine the metrics like network throughput, delay, packet loss, and fairness in traffic distribution.

Tools & Frameworks:

INET Framework: Use INET to mimic load-balancing methods in MANETs.

Multicast Routing in MANETs

Description: Exploring multicast routing protocols in MANETs for effective data dissemination to many receivers.

Key Features:

Execution of multicast routing protocols such as ODMRP (On-Demand Multicast Routing Protocol) or MAODV (Multicast AODV).
To emulate the scenarios with changing group sizes, mobility, and traffic loads.
Estimate the metrics in terms of multicast delivery ratio, latency, and control overhead.

Tools & Frameworks:

INET Framework with Multicast Extensions: Develop INET to comprise multicast routing protocols and assess their performance in MANETs.

Cross-Layer Design for MANETs

Description: Examining cross-layer design methods where various layers of the network protocol stack communicate to enhance overall network performance in MANETs.

Key Features:

Execution of cross-layer optimization approaches that consider routing, MAC, and physical layers.
Emulation of scenarios where cross-layer interactions enhance QoS, energy efficiency, or network resilience.
Examination of trade-offs among complexity, performance, and energy consumption.

Tools & Frameworks:

INET Framework with Custom Extensions: Improve custom modules to assist cross-layer design in MANETs.

In conclusion, we exhaustively presented the brief demonstration on how to execute the projects using MANET projects and their examples which is implemented in OMNeT++ environment. We plan to provide further instances over another manual, if required