Composing and connecting devices in animal telemetry network

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Show simple item record Krishna, Ashwin 2016-08-11T17:17:50Z 2016-08-11T17:17:50Z 2016-08-01 en_US
dc.description.abstract As the Internet of Things (IoT) continues to grow, the need for services that span multiple application domains will continue to increase to realise the numerous possibilities enabled by IoT. Today, however, heterogeneity among devices leads to interoperability issues while building a system of systems and often give rise to closed ecosystems. The issues with interoperability are driven by the inability of devices and apps from different vendors to communicate with each other. The interoperability problem forces the users to stick to one particular vendor, leading to vendor lock-in. To achieve interoperability, the users have to do the heavy lifting (at times impossible) of connecting heterogeneous devices. As we slowly move towards system-of-systems and IoT, there is a real need to support heterogeneity and interoperability. A recent effort in Santos Lab developed Medical Device Coordination Framework (MDCF), which was a step to address these issues in the space of human medical systems. Subsequently, we have been wondering if a similar solution can be employed in the area of animal science. In this effort, by borrowing observations from MDCF and knowledge from on-field experience, we have created a demonstration showcasing how a combination of precise component descriptions (via DSL) and communication patterns can be used in software development and deployment to overcome barriers due to heterogeneity, interoperability and to enable an open ecosystem of apps and devices in the space of animal telemetry. en_US
dc.language.iso en_US en_US
dc.publisher Kansas State University en
dc.subject Internet of Things en_US
dc.subject Animal Telemetry en_US
dc.subject Automation en_US
dc.subject Distributed Systems en_US
dc.subject Sensor Network en_US
dc.title Composing and connecting devices in animal telemetry network en_US
dc.type Report en_US Master of Science en_US
dc.description.level Masters en_US
dc.description.department Department of Computing and Information Sciences en_US
dc.description.advisor Venkatesh P. Ranganath en_US 2016 en_US August en_US

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