Unified Data Model for Wireless Sensor Network


The constant evolution of technology in terms of inexpensive and embedded wireless interfaces and powerful chipsets has led to the large usage and deployment of wireless sensors networks (WSNs). These networks are created of a growing variety of little sensing devices and are employed in multiple use cases, like home automation (e.g., smart buildings), energy management and sensible grids, crisis management and security, e-Health, entertainment, and thus forth. Sensor devices, generally self-organized in clusters and domain dedicated, are provided by an increasing variety of makers, which leads to interoperability problems (e.g., heterogeneous interfaces and/or grounding, heterogeneous descriptions, profiles, models, and so forth). Furthermore, the info provided by these WSNs are very heterogeneous because they are coming back from sensing nodes with various talents (e.g., completely different sensing ranges, formats, coding schemes, and so forth). In this paper, we have a tendency to propose a resolution for handling WSNs’ heterogeneity, with easing interoperability management. The answer consists of a semantic open data model for sensor and sensor knowledge generic description. This information model, designed for handling any quite sensors/actuators and measured information (that is still not the case of existing WSNs data models), is fully detailed and formalized in an ingenious ontology format known as MyOntoSens and written using Ontology.Net Language two description logic language. The proposed ontology has been implemented using Protégé four.3, prevalidated with pellet reasoner, and is being standardized (A Body Area Network (BAN) dedicated instance of the proposed “MyOntoSens” ontology is being standardized as a Technical Specification (TS) among the SmartBAN Technical Committee of the ETSI (European Telecommunications Standards Institute) standardization body: ETSI SmartBAN Technical Committee web site: In addi- ion, this original ontology has been prequalified through a runner’s exercise monitoring application, using in explicit SPARQL query language, inside a small wireless body space network platform comprising heartbeat, GPS sensors, and Android mobile phones.

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