Improving AODV Routing Protocol for Image Transmission Over Mobile Video Sensor Networks

Abstract

Wireless Sensor Networks (WSNs) have become extremely popular for sensing, collecting, and transmitting data across different environments. In particular, the AODV protocol is widely used to improve the behavior of WSNs in various applications. A bottleneck in the protocol's performance is the amount of data that need to be moved between different nodes. This bottleneck becomes evident in applications based on multimedia contents, such as images or videos, in which huge chunks of data need to be delivered over long distances. In this paper, we propose a new method to enhance the performance of the AODV protocol. Simulation results show that the proposed method improves the performance of the AODV protocol for image-based applications. The technique increases the quality of the delivered images, extends the network's lifetime, and reduces the delay and the network overhead associated with providing such images.

Cooperative Multi-Path Routing Algorithm for Integrated Satellite-Maritime Networks

“…In order to keep the entire network connected, mobile agents must provide the local connection information between their neighbor agents over a period of time. For data delivery, agents use control messages when data are transmitted over long distances [18].…”

AODV routing protocol performance assessment for wireless sensor network scenarios

“…More details on the route discovery and maintenance process in AODV can be found in Atto et al (2020). 27…”

Spiral Optimization Algorithm for Lifetime Enhancement of Wireless Multimedia Sensor Networks

“…In 2020, MUHSIN ATTO et al [4], developed a new technique to enhance AODV protocol performance. Finally, for image-based applications, the experimentation outcome revealed that the developed techniques enhance the AODV protocol performance.…”

“…In many applications [12], attaining high accurate and detailed information is highly probable by means of multimedia sensors participation. In real-time scenarios, present audio and video sensors and few existing sensors are exploited for high precise recognition [4]. WMSNs are represented as the main sources of maximum volume data traffic due to this they offer big data information in urban and smart environments applications from multimedia devices.…”