Shortcut Tree Routing for Optimized Communication in ZigBee Wireless Networks

Problem Definition

Problem Description: One of the main drawbacks of traditional Zigbee tree routing is the inability to optimize the routing path due to the fixed tree topology. This limitation can result in inefficient routing paths and increased transmission delays. In order to address this issue, there is a need for a more efficient routing technique that can optimize the route selection while maintaining the advantages of Zigbee tree routing. The proposed Shortcut Tree Routing (STR) technique aims to overcome this limitation by calculating the remaining hops from the source node to the destination node and forwarding packets to the neighbor node with the smallest remaining hop. By implementing this technique, it is possible to improve the overall efficiency and performance of Zigbee wireless networks.

Proposed Work

The proposed work titled "Neighbor Table Based Shortcut Tree Routing in ZigBee Wireless Networks" aims to enhance the efficiency of Zigbee tree routing by introducing a new technique called Shortcut Tree Routing (STR). This technique addresses the limitation of optimal route selection by calculating the remaining hops from the source node to the destination node and forwarding packets to the neighbor node with the smallest remaining hop in the neighbor table. By combining the advantages of Zigbee tree routing with optimized route selection, STR offers benefits such as reduced route discovery overhead, low memory consumption, and optimal route selection. This fully distributed and Zigbee standard-compatible technique is particularly suitable for resource-limited devices and applications. The research falls under the categories of Communication Based Projects, Networking, NS2 Based Thesis | Projects, and Wireless Research Based Projects, specifically focusing on Wireless (Zigbee) Based Projects and Routing Protocols Based Projects.

The software used for the implementation and simulation of the proposed technique is NS2.

Application Area for Industry

This project's proposed solutions can be applied across various industrial sectors such as manufacturing, industrial automation, smart buildings, agriculture, and healthcare. In manufacturing, the optimized routing paths can improve the efficiency of wireless sensor networks for monitoring equipment and processes. In industrial automation, the reduced transmission delays can enhance the communication between machines and control systems. In smart buildings, the low memory consumption of the technique can be beneficial for building automation and energy management systems. In agriculture, the optimal route selection can optimize data transmission for precision farming applications.

In healthcare, the efficient routing paths can improve the connectivity of medical devices and patient monitoring systems. Specific challenges that industries face, such as inefficient routing paths, increased transmission delays, and high route discovery overhead can be addressed by implementing the Shortcut Tree Routing (STR) technique. The benefits of applying this technique include improved efficiency, reduced delays, lower memory consumption, and optimal route selection. By utilizing STR in wireless sensor networks, industries can enhance their operations, improve their communication systems, and optimize their processes, leading to increased productivity and cost savings.

Application Area for Academics

The proposed project on "Neighbor Table Based Shortcut Tree Routing in ZigBee Wireless Networks" presents a significant opportunity for MTech and PhD students conducting research in the field of wireless communication and networking. The innovative Shortcut Tree Routing (STR) technique addresses the limitations of traditional Zigbee tree routing by optimizing route selection based on remaining hops, leading to improved efficiency and performance in wireless networks. By leveraging the advantages of Zigbee tree routing and introducing optimized route selection, the project offers benefits such as reduced route discovery overhead and optimal route selection. This research can be utilized by students to explore innovative research methods, simulations, and data analysis for their dissertation, thesis, or research papers in communication-based projects, networking, NS2 based projects, and wireless research projects, particularly focusing on wireless (Zigbee) based projects and routing protocols. MTech students and PhD scholars can use the code and literature from this project to enhance their research outcomes and contribute to the advancement of wireless communication technologies.

The future scope of this project includes further optimization of route selection algorithms and exploring the application of STR in other wireless communication standards and protocols.

Keywords

Shortcut Tree Routing, Zigbee, Wireless Networks, Neighbor Table, Route Optimization, Route Selection, Zigbee Tree Routing, Transmission Delays, Efficient Routing, Wireless Communication, Resource-Limited Devices, NS2 Simulation, Routing Protocols, Wireless Research Projects, Communication Based Projects, Networking, NS2 Based Thesis Projects, IEEE Standard, Neighbor Node, Route Discovery, Memory Consumption, Optimal Route Selection, Communication Protocols, Zigbee Standard Compatibility, Wireless Sensor Networks, Ad Hoc Networks, Wimax, AODV, DSR, WRP, Voice Communication, Data Communication, Xbee Radio Frequency, MATLAB, Mathworks, Wireless Interference, Energy Consumption, Network Performance, Wireless Mesh Networks.