A Novel Coverage Enhancement Algorithm for Image Sensor Networks

Abstract

The needs of diverse environmental information introduce the multimedia data into wireless sensor networks. The characteristics of most multimedia information, such as great amounts of data and high-quality requirement for network service, positively affect traditional wireless sensor networks, which also derive various new research areas. This paper focuses on the multimedia image sensor networks and proposes FVPTR (fuzzy image recognition and virtual-potential-field-based paired tangent point repulsion) method to enhance the perspective coverage of network. This approach utilizes fuzzy image recognition method to process the boundary nodes. Aimed at nonboundary nodes, based on potential field theory, it adopts paired tangent point repulsion mechanism, which attempts to obtain the optimal network sensing coverage through the multiple paired achievements between one current node and several target nodes. Combined with FVPTR, some algorithms such as LRBA, MBAA, and mixed superposition algorithm are put forward to single or multiple-time adjustment by the rotation of the direction angle. The results of simulation and all kinds of comparisons show that three-times pairing method enhances the coverage of networks well.

Coverage-enhancing Algorithm Based on Priority in WMSN

“…The algorithm was failed to fully consider different influences with different overlapping regions. Paired tangent point repulsion mechanism was utilized to modify the above algorithm with the reduction of nodes' computation, whereas it could not increase the coverage much more owing to merely focusing on the nearest node [6] . The two algorithms mentioned above did not consider the prolongation of network lifetime.…”

Network lifetime aware area coverage for clustered directional sensor networks

“…In [20] the authors proposed a virtual potential field based method considering the directions and movement of sensors for the coverage enhancement. They mainly focused on the multimedia image sensor networks and proposed linearrelation based algorithm (LRBA) and mechanism-based approximate algorithm (MBAA) since the virtual force causes the adjustment of angular magnitude to be a trouble in coverage problem.…”

Rotational Wireless Video Sensor Networks with Obstacle Avoidance Capability for Improving Disaster Area Coverage

“…The authors in [32] enhanced the greedy algorithm proposed by [31] to improve the performance of the FA algorithm. Huang et al [33] focused on the multimedia image sensor networks and proposed a virtual potential field-based method with the considerations of sensor direction and movement for the coverage enhancement. The authors in [19] proposed a distributed Voronoi-based self-redeployment algorithm (DVSA) to deal with the enhancement of the overall coverage ratio in the sensing field of a directional sensor network, which consists of mobile and rotational directional sensors.…”