Coverage Hole Recovery Algorithm Based on Molecule Model in Heterogeneous WSNs

Abstract

In diverse application fields, the increasing requisitions of Wireless Sensor Networks (WSNs) have more and more research dedicated to the question of sensor nodes’ deployment in recent years. For deployment of sensor nodes, some key points that should be taken into consideration are the coverage area to be monitored, energy consumed of nodes, connectivity, amount of deployed sensors and lifetime of the WSNs. This paper analyzes the wireless sensor network nodes deployment optimization problem. Wireless sensor nodes deployment determines the nodes’ capability and lifetime. For node deployment in heterogeneous sensor networks based on different probability sensing models of heterogeneous nodes, the author refers to the organic small molecule model and proposes a molecule sensing model of heterogeneous nodes in this paper. DSmT is an extension of the classical theory of evidence, which can combine with any type of trust function of an independent source, mainly concentrating on combined uncertainty, high conflict, and inaccurate source of evidence. Referring to the data fusion model, the changes in the network coverage ratio after using the new sensing model and data fusion algorithm are studied. According to the research results, the nodes deployment scheme of heterogeneous sensor networks based on the organic small molecule model is proposed in this paper. The simulation model is established by MATLAB software. The simulation results show that the effectiveness of the algorithm, the network coverage, and detection efficiency of nodes are improved, the lifetime of the network is prolonged, energy consumption and the number of deployment nodes are reduced, and the scope of perceiving is expanded. As a result, the coverage hole recovery algorithm can improve the detection performance of the network in the initial deployment phase and coverage hole recovery phase.

Node Deployment Optimization for Wireless Sensor Networks Based on Virtual Force-Directed Particle Swarm Optimization Algorithm and Evidence Theory

“…Zhao et al [ 30 ] proposed a novel fleet deployment approach based on route risk evaluation to fully use navigation resources while reducing risks. Song et al [ 31 ] investigated many evidence theory-based approaches for node deployment optimization in WSNs. To improve the security in WSNs, Sun et.…”

SHRP - Secure Hybrid Routing Protocol over Hierarchical Wireless Sensor Networks

“…Song [24] proposes a heterogeneous sensor network to improve the efficiency of network coverage but optimization needs to be addressed. Ndiaye et al [20] proposed that Software Defined Networking (SDN) provides a promising solution in flexible management WSNs by allowing the separation of the control logic from the sensor nodes/actuators [17].…”

Dimensionality determination of unknown deployed underwater sensor network (UWSN) using cost function

“…As a consequence, various types of new researches for UWSN have been performed, such as the development of autonomous underwater vehicles (AUV), upgradation of the deployment strategy of sensors, and localization techniques for the underwater sensor. With the aim of covering blind areas, a data fusion model based on organic small molecules is proposed in Song et al, 9 and an algorithm for the deployment of 3D underwater sensor network using passive sonar probability perception model and enhanced data fusion model has been presented in Song et al 10 An approach has been proposed in Senel et al 11 where after the random deployment of the sensors over the sea surface as 2D network, it is stretched to form 3D network while maintaining connectivity with maximum coverage, and different deployment strategies have been presented in previous studies. [12][13][14] The connectivity and coverage of a network have been focused in the literature, 12,15 a number of the activate nodes have been estimated in Chowdhury et al, 16 and the main concern of Anower et al 4 is to mitigate the multipath effect of underwater communication.…”