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We build an ubiquitous abnormal activity detection system, namely NotiFi, for accurately detecting the abnormal activities on commercial off-the-shelf (COTS) IEEE 802.11 devices. In contrast to the traditional wearable sensor based and computer vision based systems which require additional sensors or enough lighting in line-of-sight (LoS) scenario, we proceed directly with abnormal activity characterization...
In large-scale industrial wireless sensor networks (IWSNs), some nodes are likely to be critical to maintain group-connectivity. Prior studies on topology control with critical nodes (CNs) mainly focus on network connectivity inside a group. It is non-trivial to maintain group-connectivity without considering any CNs in group-based IWSNs. Sleep scheduling is one of the approaches to save residual...
In wireless networks, the nodes are generally distributed in a field randomly. The topological information about the nodes is only supported from the distances between each node. This distance information may not be available due to the imperfect conditions among nodes. The positions of the distributed nodes on the field by using available distance data is called node localization problem. One of...
Technological advances in wireless sensors shed some light on the deployment of Industrial Wireless Sensor and Actuator Networks (IWSAN) for diverse applications in process automation due to their multiple advantages related to the reduction in wiring costs, implementation and maintenance. However, the most critical processes, like closed loop control applications which have shorter than 1 ms time...
In this paper, a method of interaction with Wireless Sensors Networks (WSN) through cloud, called Wireless Sensor Network over Cloud (WSN-C), is proposed. The physical sensors are not considered stand-alone sensors but they can be monitored, controlled and updated (programmed) via cloud services. The Cloud can communicate with the sensors through the WSN access point, or Sensor Gateway. Thus, every...
Multiple routing metrics have been proposed for maximizing throughput or guaranteeing reliable delivery of the data. Some of the most common used metrics, neglect the bursty behavior of the channel. A new metric improve this by taking burstiness into account. This creates a burst estimation of all links and allocates the maximum number of required slots in worst-case. Even though this is a solution...
This paper develops a mathematical model to determine the balance of energy input and data sensing and transmission in a wireless sensing node. Since the node acquires energy through harvesting from an intermittent source, and sensing is also carried out intermittently, the node is modelled with random arrivals of both energy and data. A buffer in the node stores data packets while energy is stored...
Wireless powered communication network (WPCN) is a novel networking paradigm that uses radio frequency (RF) wireless energy transfer (WET) technology to power the information transmissions of wireless devices (WDs). When energy and information are transferred in the same frequency band, a major design issue is transmission scheduling to avoid interference and achieve high communication performance...
Cognitive radio networks (CRNs) have a great potential in supporting time-critical data delivery among the Internet of Things (IoT) devices and for emerging applications such as smart cities. However, the unique characteristics of different technologies and shared radio operating environment can significantly impact network availability. Hence, in this paper, we study the channel assignment problem...
In this paper, a Thermal Energy Harvesting (TEH) technique with power management circuit to condition the output power harvested from low-level heat energy sources with the intention to extend the lifetime of the wireless sensor network (WSN) node is presented. By using this approach, it can extends the WSN nodes lifespan from few days or even weeks (in a case of batteries powered) up to years or...
Wireless sensor network(WSN) are wireless self-organizing network that can monitor, perceive and gather various messages from monitoring object, then process and send them to user. For the localization algorithm of wireless sensor network exists a big positioning error in wireless communication. Wireless sensor network communication system is built up. According to the anchor nodes and unknown nodes,...
One of the crucial challenges in the recently emerging Internet of Things (IoT) applications is how to handle the massive heterogeneous data generated from a large number of resource-constrained sensors. In this context, cloud computing has emerged as a promising paradigm due to its enormous storage and computing capabilities, thus leading to the IoT-Cloud convergence. In such a framework, IoT devices...
The paper proposed and implemented the various ways to optimize devices for lung sounds auscultation and digitization. To achieve this aim the following steps are proposed: increasing the amount of detected lung sounds channels, data digitizing directly in the device, noise reduction. Also experiments on transmission of lung sounds signals were carried out using a wireless data transfer module NRF24L01...
The benefits of wireless sensor networks (WSN) offer many possibilities for the management of energy systems, which are actually based on wired systems. The need of new services on-board the train and of cables lengths reduction promote the use of wireless sensor networks in trains. Then, researches are required to estimate radio coverage to optimize planning before actual network deployment. In this...
Intruder Detection is needed in order to monitor sensitive passages or gateways. These passages are usually existing in airports, police stations, government buildings, courts or even in special laboratories, like nuclear or chemical laboratories. For security or safety purposes, nobody is usually allowed to walk through these passages without permission and during the working hours. Video streaming...
Spectrum efficiency (SE) and energy efficiency (EE) are two key targets in wireless communication networks. Applying energy harvesting technology to cognitive radio networks (CRNs), which is called RF-powered CRNs, provides an effective method to improve both SE and EE of CRNs. In conventional RF-powered CRNs, secondary transmitters (STs) equipped with RF energy harvesting capability opportunistically...
Compressive sensing (CS) is a promising technology for realizing energy-efficient wireless sensors for long-term health monitoring. However, conventional model-driven CS frameworks suffer from limited compression ratio and reconstruction quality when dealing with physiological signals due to inaccurate models and the overlook of individual variability. In this paper, we propose a data-driven CS framework...
Continuous health monitoring using wireless body area networks of implantable and wearable medical devices is envisioned as a transformative approach to healthcare. Rapid advances in biomedical sensors, low-power electronics, and wireless communications have brought this vision to the verge of reality. However, key challenges still remain to be addressed. This paper surveys the current state-of-the-art...
In many applications of wireless sensor networks (WSNs), sensors are deployed in hostile environments where an adversary can eavesdrop communications. To secure communications in WSNs, the q-composite key predistribution scheme has been widely recognized as a suitable approach. In this paper, we investigate connectivity in secure WSNs operating under the q-composite scheme, in consideration of different...
Wireless rechargeable sensor networks are becoming crucial and important in recent years for the advancement of wireless energy transmission technology. The previous research shown that not all of sensors can be recharged due to the limitation of energy capacity that mobile chargers can carry. If a sensor playing a critical role in a sensing task cannot function as usual due to the exhausted energy,...
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