Real-world monitoring and surveillance applications are rapidly increasing with the growth in the demand for awareness of the environment and surrounding. Sensor-to-web integration models are envisaged to improve the utilisation of sensory infrastructures and data via advanced coordination and collaboration of sensor nodes and web applications. This paper proposes to employ micro-blogging to publish and share sensory data and resources. S-Sensors provides a framework to globally share locally measured sensory readings. Short messages depicting the status of the environment are used to convey sensory data of the physical world. Moreover, data accessibility and resource manageability are facilitated by using social networks paradigms to form communities of sensor networks.
The Internet of Things is envisaged to deliver constant information flow from the physical objects in our world and make the sensory information about our environment available online. This paper presents the on-going work to integrate the physical world with the largely available Internet infrastructure by a model that interconnect wireless sensor networks with social networks. The paper provides a design and framework for employing social networks to facilitate the collaboration and coordination of distributed sensor networks. Seamlessly exchanging sensory measurements amongst geographically dispersed sensor networks is anticipated to enhance our capability to capture the status of the physical world and to realise a smart environment once sensory information is delivered to various machineries in the world. Additionally, sensor networks may utilise social networks for distributing the sensing responsibilities amongst sensor networks, and as a result prolonging the lifetime of the networks whilst maintaining constant monitoring and detection of the environment.
Graph Neuron (GN) is a network-centric algorithm which envisages a stable and structured network of tiny devices as the platform for parallel distributed pattern recognition. However, the unstructured and often dynamic topology of a wireless sensor network (WSN) does not allow deployment of such applications. In this paper, using GN as a testbed application, we show that a simple virtual topology overlay would enable distributed applications requiring stable structured networks to be deployed over dynamic unstructured networks without any alteration.
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