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6LoWPAN opens a great opportunity for wireless sensor networks (WSNs) to be operated from the Internet. However, 6LoWPAN requires a gateway in order to make the use of IPv6 feasible inside the WSN. In this paper, a gateway is designed and constructed to interconnect 6LoWPAN wireless sensor networks with IPv6 clients, enabling them to receive sensor nodes readings or send commands to the 6LoWPAN WSN...
Modern computer networks are increasingly pervasive, complex, and ever-evolving due to factors like enormous growth in the number of network users, continuous appearance of network applications, increasing amount of data transferred, and diversity of user behaviors. Understanding and measuring such a network is a difficult yet vital task for network management and diagnosis. Network traffic monitoring,...
Visualization tools make it easier for users to observe the status of the wireless sensor networks (WSNs). So far, developers of WSNs have created various visualization tools under certain project/research backgrounds. These tools, however, are limited in certain application scenarios, since the underlying packet formats are hard coded into the programs. For this purpose, we present NetViewer, a universal...
wildCENSE is a Wireless Sensor Network (WSN) system which attempts to monitor the behaviour and migration patterns of Barasingha (Swamp Deer). The system would collect the micro-climatic as well as positional information of the animal and communicate it to a base station through flooding of data using peer-to-peer network. The base station, using a gateway, will upload all the collected data to a...
Scalable data management is essential to share real-time sensor data in a worldwide sensor web. A peer-to-peer (P2P) network is suitable for it because of its scalability, flexibility, and robustness. When we share sensor data from the physical world in a global P2P network, overhead in data updates may be very large because sensor data frequently change in general. However, traditional works in P2P...
A massive amount of data is available in distributed fashion on various networks, including Internet, peer-to-peer networks, and wireless sensor networks. Users are often interested in monitoring interesting patterns or abnormal events hidden in these data. Transferring all the raw data from each host node to a central coordinator for processing is costly and unnecessary. In this study, we investigate...
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