Hybrid Model Approach for Wireless Sensor Networks Coverage Improvement

Abstract

The area coverage is a non-trivial problem in Wireless Sensors Network (WSN) due to the lack of knowledge in the minimum sensor nodes set that can cover an area of interest and limitation of energy reserve, monitoring and communication ranges. Coverage protocols address two fundamental questions: how can the coverage performance of deployed sensor nodes in a monitoring region be evaluated; and how can the coverage performance be improved when wireless sensor network cannot effectively satisfy quality of service requirements? Constructing sets of minimal nodes to optimize the coverage problem push researchers to use different techniques from different domains, such as Voronoï Diagram, Connected Dominating Set, Clustering, and others. Each technique deals with the problem by its own philosophy. Our approach aims to use a hybrid model combining Diagram of Voronoï, Clustering, and Connected Dominating Set in order to benefit from the advantages of these three models to optimize area coverage, keep connectivity, and minimize energy consumption. The simulation showed the ability of our approach to ensure optimal coverage with minimal power consumption for a longtime.

A fuzzy/possibility approach for area coverage in wireless sensor networks

“…In this context, the coverage problem have been classified in our contributions into two main categories; (a) coverage in sensor networks based on deterministic models and (b) coverage in sensor networks based on uncertain models [32]. In (a) coverage in sensor networks based on deterministic models, we quote: Energetic Sleep-Scheduling via Probabilistic Interference K-Barrier Coverage with Truth-Table Technique in Sensor Network [24], Hybrid Model Approach for Wireless Sensor Networks Coverage Improvement [21], and we quote in (b) coverage in sensor networks based on uncertain models: An Evidential Approach for Area Coverage in Mobile Wireless Sensor Networks [3], Area Coverage Optimization in Wireless Sensor Network by Semi-random Deployment (SRDP) [33], Spiderweb strategy: application for area coverage with mobile sensor nodes in 3D wireless sensor network (Spiderweb strategy) [25]…”

“…Indeed, it associates with each singleton sensor node u i of Ω a value in [0,1] which evaluates, in the light of available knowledge, the possibility of possible activation of this singleton sensor node. Thus, a possibilities distribution is an application that is defined as defined in (21) :…”