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In this work, we propose a scheme, named LECRAD, for the re-construction of temporarily lost connectivity in the presence of dumb nodes in stationary wireless sensor networks. A sensor node is termed as “dumb”, when it continues its physical sensing, but fails to communicate due to shrinkage in communication range, typically attributed to adverse environmental effects such as rainfall, fog and high...
Nonparametric belief propagation (NBP) algorithm is a popular probabilistic localization method in wireless sensor networks. It is particle-based and can be applied in nonlinear and non-Gaussian inference problems. However, NBP has practical limitations in dense networks due to the high computational complexity and network traffic resulting from the ranging and information exchanges with neighboring...
Emerging wireless sensor networks (WSNs) aim to overcome current needs for additional backbone infrastructure in mobile networks. Confronted with enormous requirements in terms of spectrum and energy efficiency, WSNs have been shown to benefit from distributed source coding (DSC) by means of multi-route redundancy. However, DSC in WSNs yields low performance regarding the correlation estimation of...
Various wearable devices are foreseen to be the key components in the future for vital signs monitoring as they offer a non-invasive, remote and real-time medical monitoring means. Among those, Wireless Body Sensors (WBS) for cardiac monitoring are of prominent help to early detect CardioVascular Diseases (CVD) by analyzing 24/24 and 7/7 collected cardiac data. Today, most of these WBS systems for...
Ambient Assisted Living (AAL) systems based on sensor technologies are seen as key enablers to an ageing society. However, most approaches in this space do not provide a truly generic ambient space - one that is not only capable of assisting people with diverse medical conditions, but can also recognise the habits of healthy habitants, as well as those with developing medical conditions. The recognition...
These days, the demand for investigating underwater area by using underwater sensor network is increasing. Compared with terrestrial environment, underwater communication has specific characteristics of low bandwidth and high packet loss rate. Hence, robust data transfer needs to be realized with lower network load by limiting the number of exchanged packets, reducing end-to-end data packet transfer...
Internet of Things (IoT) concept provides a number of opportunities to improve our daily lives while also creating a potential risk of increasing the vulnerability of personal information to security and privacy breaches. Data collected from IoT is usually offloaded to the Cloud which may further leave data prone to a variety of attacks if security and privacy issues are not handled properly. Anomaly...
Without doubt, the Internet of Things (IoT) is changing the way people and technology interact. Fuelled by recent advances in networking, communications, computation, software, and hardware technologies, IoT has stepped out of its infancy and is considered as the next breakthrough technology in transforming the Internet into a fully integrated Future Internet. However, realising a network of physical...
We present the packet error rate (PER) characterization of an aircraft cabin wireless sensor network (WSN). It is based on measurements for a static and a typical dynamic environment, which were both performed in an aircraft cabin mockup. The WSN exploits spatial diversity by using multiple access points, which decreases the average PER by several orders of magnitude. The characterization gives the...
Recent advances in wireless power transfer (WPT) technology provide a cost-effective solution to charge wireless devices remotely without disruption to the use. In this paper, we propose an efficient wireless charging control method for exploiting the frequency diversity in multiuser broadband wireless networks, to reduce energy outage and keep the system operating in an efficient and sustainable...
This work focuses on the quantification of node misbehavior in wireless sensor networks (WSNs). Misbehaving nodes are common within WSNs which are once detected, are penalized and in some cases eliminated from the network. However, node misbehavior might be relative i.e., a node may exhibit maliciousness or selfishness only to a specific set of nodes and may function normally for the rest. In these...
Marine pollution is a worldwide problem that affects the water environment, the economy and even the human health. Depending on the type of pollutant, it is required different techniques to remove it. In order to avoid higher impact and damage in the affected area, the most important action is to perform a quick detection and determine where the pollution stain or spill is. Due to its fast dispersion,...
Conventional cooperative spectrum sensing (CSS) schemes in cognitive radio networks (CRNs) require that the secondary users (SUs) report their sensing data sequentially to the fusion center, which yields long reporting delay especially in the case of large number of cooperative SUs. By exploiting the computation over multiple-access channel (CoMAC) method, this paper proposes a novel CoMAC-based CSS...
Cognitive wireless sensor networks (CWSNs) become promising infrastructures, which can improve spectrum utilization of traditional wireless sensor networks (WSNs). For cognition in WSNs, spectrum sensing is one of the most crucial function to prevent hazardous interferences with the licensed users and to identify available spectrum for improving the spectrum utilization. In this paper, we propose...
Virtualization enables the sharing of a same wireless sensor network (WSN) by multiple applications. However, in heterogeneous environments, virtualized wireless sensor networks (VWSN) raise new challenges such as the need for on-the-fly, dynamic, elastic, and scalable provisioning of gateways. Network Functions Virtualization (NFV) is an emerging paradigm that can certainly aid in tackling these...
Future device to device communication using the LTE system bring new opportunities for application development. In the case of wireless sensor networks, unmanned aerial vehicles with LTE capabilities could be used to increase the network lifetime, while ensuring high transfer rates between LTE capable sensor nodes and the aerial vehicles. In this article we propose a hybrid heuristic algorithm able...
We consider wireless sensor networks (WSN) powered by energy harvested from the environment, which is assumed to be sporadic and random in nature. Wireless nodes in such networks experience random active and sleep periods depending on their energy availability, leading to intermittent connectivity in the network. This paper addresses the problem of minimizing the multi-hop transmission delay in such...
This paper aims at developing a novel high precision compression method. Based on the previously developed Fuzzy Transform Compression (FTC), we design and implement a modified version of the algorithm, referred to as Fuzzy Compression Adaptive Transform (FuzzyCAT). The underlying idea of FuzzyCAT is to adapt the transform parameters to the signal's curvature inferred from the time derivatives. FuzzyCAT...
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