An Improved Multi-layer Cooperation Routing in Visual Sensor Network for Energy Minimization

Abstract

Recent development on visual sensor networks (VSN) have shown the emergence of VSN as an important class of sensorbased distributed intelligent systems, with unique performance, complexity, and quality of service challenges. Furthermore, the popularity of VSN had attracted researchers and industries from many applications. Basically, VSN consists of a large number of low-power camera nodes, visual sensor networks support a great number of novel vision-based applications. The information provided by the camera nodes from a monitored site were collected data and processed in distributed and collaboratively. The use of multiple cameras in the network provides different views of the scene which enhances the reliability of the captured events. However, the cameras combined with the network's resource produce large amount of image data which require more energy consumption. Many research experts are working and publishing research papers on energy minimization in visual sensor network. However, there are no special attentions given by researchers on multi-layer cooperation routing in visual sensor network (VSN) particularly on the deficiency of forward-thinking innovation. This research proposed a new method that put forward the step and use (CO-VSN) multilayer routing arrangement in visual sensor network. The performance of the proposed method is then compared with RASE protocol in different parameters and the result shows some meditation change in the stability of the network, increase the network life, reduce packet loss and energy drainage reduce in the VSNs. Even though, the RASE scheme used channel condition for movement of data and yet the proposed CO-VSN used cooperation and demonstrated better results.

A Hybrid Approach for Energy Consumption and Improvement in Sensor Network Lifespan in Wireless Sensor Networks

“…The process of choosing the best communication path for data packets to take from a source node to a destination node is known as path selection in a wireless sensor network (WSN). In WSNs, where sensor nodes are frequently resource-constrained in terms of energy, computing power, and communication range, this technique is essential for effective and dependable data transmission [ 30 , 31 ]. Figure 3 presents the path selection in a WSN.…”

“…The goal is to identify path P that satisfies the connection and energy limitations while minimizing overall energy use. It is vital to keep in mind that this is a mathematical model that has been simplified and that in real-world path selection in WSNs, more complicated factors like routing protocols, changing network circumstances, and QoS need to frequently come into play [ 31 ]. The mathematical model may need to be adjusted or modified based on the unique application and goals.…”

New efficient GAF routing protocol using an optimized weighted sum model in WSN

“…moreover, it integrated the shortest path algorithm for improving data routing [29]. For resolving the path energy problem [30], this approach is considered a wireless portable charging device (WPCD) that followed sensor nodes to charge them when required. This is done by using the wireless power transfer (WPT).…”

Energy Efficient Strategy for WSN Technology Using Modified HGAF Technique

“…GAF consists of three transition states which are discovery, sleeping, and active stage. Authors [19], improved this protocol based on its basic version. The proposed technique is known as EEGAF which improves the discovery status of the system and also optimizes the data sending.…”