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A wireless sensor network is a group of devices that uses radio to monitoring and sensing physical or environmental conditions at different location. Commonly monitored parameters are pressure, temperature, humidity, wind direction and speed, sound intensity, power-line voltage, and chemical concentrations. However, Energy efficiency is an essential design issue is a challenging task. In this simulation...
The contribution of this article is two local recovery methods that may reduce overhead and make a more immediate reconnection of disconnected nodes compared to the soft state global recovery method applied in WSNs running RPL [1]. In addition, we perform an analysis of the implication to better judge the context where local recovery methods should be used. One of our suggested methods is based on...
Wireless Sensor Networks (WSN) are applicable in vast range of applications and depending on the application the sink could be mobile or stationary. Sink mobility has been shown to improve network lifetimes [1], however mobile sink has to periodically update network about its changing position. This control traffic is non-negligible for low power, limited capacity sensors and induces energy consumption...
A wide-spread integration of Wireless Sensor Networks (WSNs) into daily life applications demands modular and flexible service oriented architectures. Discovering nodes and their services is imperative to any large-scale sensor network deployment. In this paper, we describe nanoSD, a lightweight service discovery protocol, designed for highly dynamic, mobile and heterogeneous sensor networks. We demonstrate...
In wireless sensor networks, the size of backbone network have a great impact on communication overhead, as well as the network lifetime. It can be designed based on cluster tree. MIS (maximum independent sets) composed of clusterheads is achieved by clustering algorithm, based which MCDS(minimal connected dominating sets) and MST(minimum spanning tree) are built with improved Prim algorithm, and...
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