Energy Efficient Opportunistic Routing Algorithm for Wireless Sensor Networks

Problem Definition

Problem Description: The main problem that this project aims to address is the proper selection of priority forwarder list in opportunistic routing in wireless sensor networks in order to optimize network performance and minimize energy consumption. With nodes that overhear transmissions and are closer to the destination being able to participate in forwarding packets, determining the priority forwarder list becomes crucial. This decision impacts network throughput, energy consumption, packet loss ratio, and average delivery delay. The proposed Energy Efficient Opportunistic Routing strategy (EEOR) aims to tackle these challenges and improve overall network efficiency compared to existing strategies such as EXOR. By focusing on the selection of priority forwarder list, the project aims to enhance the energy efficiency of the wireless sensor network while improving performance metrics.

Proposed Work

The proposed work titled "Energy Efficient Opportunistic Routing in Wireless Sensor Networks" aims to enhance network throughput by employing opportunistic routing, where nodes that overhear transmissions and are closer to the destination can assist in packet forwarding. The selection of priority forwarder nodes is crucial in optimizing network performance and reducing energy consumption. The research focuses on selecting the optimal priority forwarder list to minimize energy consumption in scenarios with fixed or dynamically adjustable transmission power. A novel energy-efficient opportunistic routing strategy, EEOR, is introduced and compared to EXOR, demonstrating superior performance in terms of energy consumption, packet loss ratio, and average delivery delay. This work falls under the categories of NS2 Based Thesis Projects and Wireless Research Based Projects, with subcategories including Energy Efficiency Enhancement Protocols, Routing Protocols Based Projects, and WSN Based Projects.

The study utilizes the NS-2 simulation software for analysis and evaluation.

Application Area for Industry

The project "Energy Efficient Opportunistic Routing in Wireless Sensor Networks" can be applied across various industrial sectors, including but not limited to, telecommunications, smart cities, industrial automation, and environmental monitoring. In the telecommunications sector, the proposed solutions can help improve network efficiency and reduce energy consumption, ultimately leading to cost savings for service providers. In smart cities, the optimized network performance can facilitate the seamless connectivity of various IoT devices, allowing for efficient data collection and analysis. In industrial automation, the project's focus on energy-efficient routing can enhance the connectivity and communication between sensors and control systems, leading to increased productivity and reduced downtime. In environmental monitoring, the improved network throughput can enable real-time data collection and analysis for better decision-making in areas such as air quality monitoring or wildlife tracking.

Specific challenges that industries face, such as limited network resources, high energy consumption, and the need for reliable data transmission, can be addressed by implementing the proposed solutions. By selecting the optimal priority forwarder list and employing the EEOR strategy, industries can achieve better network performance metrics, including reduced energy consumption, lower packet loss ratio, and improved average delivery delay. The benefits of implementing these solutions include improved operational efficiency, enhanced data accuracy, increased system reliability, and ultimately, cost savings for organizations. Overall, by adopting the proposed Energy Efficient Opportunistic Routing strategy, industries can overcome the challenges they face in wireless sensor networks and achieve more sustainable and efficient operations.

Application Area for Academics

MTech and PHD students can leverage the proposed project on Energy Efficient Opportunistic Routing in Wireless Sensor Networks for their research endeavors in various ways. The project addresses the critical issue of selecting priority forwarder nodes to optimize network performance and reduce energy consumption in wireless sensor networks. By implementing the Energy Efficient Opportunistic Routing strategy (EEOR), researchers can explore innovative methods to enhance network throughput and efficiency. This project provides a valuable platform for MTech and PHD students to delve into simulations, data analysis, and experimentation to evaluate the effectiveness of EEOR compared to existing strategies like EXOR. The project's relevance lies in its potential applications for dissertation, thesis, or research papers in the fields of NS2 Based Thesis Projects and Wireless Research Based Projects, specifically in Energy Efficiency Enhancement Protocols, Routing Protocols Based Projects, and WSN Based Projects.

MTech students and PHD scholars can utilize the code and literature of this project to conduct in-depth investigations, develop new research methodologies, and contribute to advancing knowledge in wireless sensor networks. Moving forward, future scope includes further refining EEOR, exploring real-world implementations, and exploring other optimization techniques to enhance network performance and energy efficiency.

Keywords

Energy Efficient, Opportunistic Routing, Wireless Sensor Networks, Priority Forwarder List, Network Performance, Energy Consumption, Node Selection, Network Throughput, Packet Loss Ratio, Average Delivery Delay, Energy Efficiency, EXOR, EEOR, Transmission Power, NS2 Simulation Software, Energy Efficiency Enhancement Protocols, Routing Protocols, WSN Based Projects, NS2 Based Thesis Projects, Wireless Research Based Projects.