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With the proliferation of Internet of Things (IoT) devices such as smartphones, sensors, cameras, and RFIDs, it is possible to collect massive amount of data for localization and tracking of people within commercial buildings. Enabled by such occupancy monitoring capabilities, there are extensive opportunities for improving the energy consumption of buildings via smart HVAC control. In this respect,...
In this paper, a model for traffic jam prediction using data about traffic, weather and noise is presented. It is based on data coming from a Smart City in Spain called Santander. The project in this city is called ”Smart Santander” and provides a platform for large-scale experiment based on realtime data. This paper demonstrates the possibility of predicting traffic jams and is a basis to integrate...
This paper presents analytical expressions of network throughput for wireless 2-hop networks with tethering function at any offered load. Network throughputs can be obtained analytically by expressing collision probabilities and frame existence probabilities with respect to each node. The validities of the analytical expressions are confirmed from quantitative agreements between analytical and simulation...
In cognitive Radio, Energy Detection(ED) is the easiest method to detect idle spectrum due to the simple implementation. However, it is difficult to identify the transmitter when several systems are sharing the spectrum in the same time. In order to improve the spectrum utilization, the spectrum shared by the secondary users may be detected as idle spectrum with keeping the detection performance of...
In cognitive radio (CR), white space devices (WSDs) need to have the knowledge of spectrum occupancy in TV white space (TVWS) before dynamic access. There are two common schemes proposed to achieve this: 1) geo-location database and 2) spectrum sensing. In geo-location database, calculating digital terrestrial television (DTT) location probability and maximum permitted power in each channel in an...
We propose a combined method of a spectrum sensing and a channel utilization state prediction for a cognitive radio system. In order to run the spectrum sensing, the cognitive user has to observe the surrounding wireless environment by using a received signal during the sensing period that the cognitive user cannot transmit any data. However, the proposed method can increase the chance of transmission...
We investigate the coexistence issue between 802.22 and 802.11af networks over the TV White Space (TVWS). The coexistence scheme is vulnerable to selfish attacks. In this paper, the scenario of selfish attack wherein 802.22 subscribers intend to occupy the allocated spectrum selfishly is studied. Consequently, 802.11af users have less opportunity to access the spectrum, which leads to low overall...
In cooperative spectrum sensing, clustering of the sensor nodes is vastly employed in order to reduce overall energy expenditure due to reporting while preserving high detection performance. Cluster formation is especially difficult for mobile networks since the clusters immediately become invalid. In the mobile scenario, the cluster forming algorithm should take into account the total energy expenditure,...
The decentralized Cognitive Radio Medium Access Control (CR MAC) protocols proposed so far are usually evaluated considering homogeneous sensing conditions where all Secondary Users (SUs) share the same view of the channel. By doing so, realistic heterogeneous channel sensing conditions are neglected, which happens due to different spectrum sensing errors and/or different patterns of channel occupation...
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