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Port Glasgow, United Kingdom

Kwong K.H.,Center for Intelligent Dynamic Communications | Wu T.-T.,Center for Intelligent Dynamic Communications | Goh H.G.,Center for Intelligent Dynamic Communications | Sasloglou K.,Center for Intelligent Dynamic Communications | And 4 more authors.
Computers and Electronics in Agriculture | Year: 2012

The paper presents an investigation into wireless sensor networks (WSNs) for cattle monitoring. The proposed solution fulfils the requirement for intensive condition monitoring of individual animals, aggregation and timely reporting of data to the farm manager. The core contribution of this study is a wireless communication solution designed for both loose house dairy cattle and free ranging beef cattle. The design target utilises inexpensive, low power consumption sensor nodes as the base elements of a data gathering and communication infrastructure. This platform facilitates real-time data download for loose housed dairy cattle and non real-time communication for free ranging beef cattle where the former is more challenging. In order to meet the target objectives, both the hardware and software are designed to adapt to the deployment challenges which include mobility, radio path interference, short transmission range of sensor nodes and limited resources in terms of energy and storage. These challenges have been analysed and addressed. Laboratory experiments and farm trials have been carried out to evaluate the performance of the platform communication protocol. The results of experiments demonstrate that the platform performs efficiently while conforming to the limitations associated with WSN implementations. © 2011 Elsevier B.V. Source


Goh H.G.,Center for Intelligent Dynamic Communications | Kwong K.H.,Center for Intelligent Dynamic Communications | Shen C.,Center for Intelligent Dynamic Communications | Michie C.,Center for Intelligent Dynamic Communications | Andonovic I.,Center for Intelligent Dynamic Communications
2010 7th IEEE Consumer Communications and Networking Conference, CCNC 2010 | Year: 2010

Cognitive Sensor Network (CogSeNet) is an intelligent based wireless sensor network system which relies on cognitive processes to provide a dynamic capability in configuring wireless sensor network. CogSeNet is a network structure formed by sensor nodes equipped with cognitive modules allowing them to observe their operating environment and allowing a decision can be derived. A series of actions result so that the nodes can adapt and achieve certain goals by an overall policy. These goals can be as simple as to provide robust connectivity or as complex as negotiate additional resources from neighbouring network groups to forward mission-critical data. In this paper, the concept of cognitive sensor network is reviewed and a preliminary case study is illustrated. ©2010 IEEE. Source


Wu T.-T.,Center for Intelligent Dynamic Communications | Kwong K.-H.,Center for Intelligent Dynamic Communications | Shen C.,Center for Intelligent Dynamic Communications | Michie C.,Center for Intelligent Dynamic Communications | Andonovic I.,Center for Intelligent Dynamic Communications
2010 7th IEEE Consumer Communications and Networking Conference, CCNC 2010 | Year: 2010

In Wireless Sensor Networks, end-to-end routing paths need to be established when nodes want to communicate with the desired destination. For nodes assumed to be static, many routing protocols such as Directed Diffusion have been proposed to meet this requirement efficiently. The performance of such routing protocols is relative to the given network connectivity. This paper addresses mobile sensor nodes taking into account the diversity of scattered node density and investigates how physical conditions impact on network connectivity which in turn influences routing performance. Three analysis metrics: path availability, path duration, and inter-available path time are proposed to quantify the impact of different physical conditions on network connectivity. Simulation results show that the network connectivity varies significantly as a function of different physical conditions. ©2010 IEEE. Source

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