Abstract

Wireless Sensor Networks (WSNs) produce changes of status that are frequent, dynamic and unpredictable, and cannot be represented using a linear cause-effect approach. Consequently, a new approach is needed to handle these changes in order to support dynamic interoperability. Our approach is to introduce the notion of context as an explicit representation of changes of a WSN status inferred from metadata elements, which in turn, leads towards a decision-making process about how to maintain dynamic interoperability. This paper describes the developed context model to represent and reason over different WSN status based on four types of contexts, which have been identified as sensing, node, network and organisational contexts. The reasoning has been addressed by developing contextualising and bridges rules. As a result, we were able to demonstrate how contextualising rules have been used to reason on changes of WSN status as a first step towards maintaining dynamic interoperability.

Highlights

  • Sensors and their networks are becoming essential sources of information for planning, risk management and other scientific applications

  • From a pragmatic point of view, the dynamic interoperability of Wireless Sensor Networks (WSNs) at different periods of time can be maintained by using a set of metadata elements in order to provide a description of observations, processes and functionalities, as well as their current configuration that can enable the understanding of a network itself [13,14,15]

  • This paper describes the development of a context model based on metadata elements for maintaining the dynamic interoperability of WSNs

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Summary

Introduction

Sensors and their networks are becoming essential sources of information for planning, risk management and other scientific applications. Our research premise is the existence of different contexts, both at in-network and data repository levels, which play an important role in the dynamic interoperability of WSNs. From a pragmatic point of view, the dynamic interoperability of WSNs at different periods of time can be maintained by using a set of metadata elements in order to provide a description of observations, processes and functionalities, as well as their current configuration that can enable the understanding of a network itself [13,14,15]. This paper proposes a model focused on a context decision-making representation about how to maintain the sensor dynamic interoperability instead of only handling the WSN status changes.

The Notion of Metadata
The Notion of Context
The Developed Context Model
Sensing Contexts
Node Contexts
Network Contexts
Organisational Contexts
Relevant Aspects of the Context Model
The contexts depend on the metadata values
The contexts depend on the level of approximation
The contexts have relationships among them
Run-time and historic time contexts
Reasoning about WSN Contexts: the Implementation of Contextualising Rules
Example 1
Example 2
Example 3
The Impact of the Proposed Context Model in WSN Interoperability
Conclusions
Full Text
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