Abstract
This project proposes a novel neighbor discovery technique designed specifically for ad hoc networks utilizing directional antennas. The objective is to enhance network efficiency and reduce energy consumption by optimizing the discovery process. Directional antennas, known for their ability to focus energy in specified directions, offer significant improvements in network performance and security over omnidirectional antennas. The new technique aims to leverage these properties to achieve faster, more reliable neighbor discovery in ad hoc network environments.
Existing System
In current ad hoc networks using directional antennas, neighbor discovery often relies on traditional methods designed for omnidirectional antennas, leading to suboptimal performance. These methods typically involve broadcasting signals in all directions periodically, which is inefficient in terms of energy and time when using directional antennas. The lack of optimization in the signal direction leads to increased discovery time, higher energy consumption, and reduced network throughput.
Proposed System
The proposed system introduces an intelligent algorithm for neighbor discovery that exploits the directional capabilities of antennas. The main features of this system include:
- Directional Scanning: Utilizes a sectorized approach where the antenna periodically scans a specific sector before moving to the next, significantly reducing the overall discovery time.
- Adaptive Scheduling: The discovery process is dynamically scheduled based on the network’s topology changes, ensuring that the antenna’s focus is adjusted according to the most probable locations of new nodes.
- Energy Efficiency: Reduces the power consumption by minimizing the active scanning time and focusing energy only in directions with a high probability of discovering new neighbors.
Methodology
- Literature Review: Conduct an extensive review of existing techniques and identify the limitations in current directional antenna usage in ad hoc networks.
- Algorithm Development: Develop the neighbor discovery algorithm that incorporates directional scanning and adaptive scheduling.
- Simulation: Use network simulation tools to model ad hoc networks with directional antennas and implement the proposed discovery technique.
- Testing and Optimization: Test the system under various network conditions and topologies to evaluate performance and make necessary adjustments.
- Real-World Testing: If possible, implement a prototype in a controlled real-world environment to observe practical challenges and performance.
Technologies Used
- Directional Antennas: Specialized hardware capable of focusing radio waves in specific directions rather than uniformly in all directions.
- Network Simulators: Tools like NS2 or NS3 that can simulate ad hoc networks with directional antennas and support custom algorithm testing.
- Programming Languages: Use of C++ or Python for writing custom scripts and algorithms for simulation and testing.
- Data Analysis Tools: Software like MATLAB or Python libraries (e.g., NumPy, Pandas) for analyzing the results from simulations to assess the efficiency and effectiveness of the proposed technique.
