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Wireless sensor networks (WSNs) always collect an enormous amount of rich diverse environmental information. When WSNs grow large in scale, it is difficult for the sink to gather data due to the increasing transmission overhead. In order to improve the fidelity of data recovery and save energy, we propose a novel data aggregation and space-time global recovery scheme. The scheme exploits block Compressed...
Air pollution has become a major issue of modern megalopolis because of industrial emissions and increasing urbanization along with traffic jams and heating/cooling of buildings. Monitoring urban air quality is therefore required by municipalities and by the civil society. Current monitoring systems rely on reference sensing stations that are precise but massive, costly and therefore seldom. In this...
The Internet-of-Things (IoT) is the key enabling technology for transforming current urban environments into so-called Smart Cities. One of the goals behind making cities smarter is to provide a healthy environment that improves the citizens' quality of life and wellbeing. In this work, we introduce a novel data aggregation mechanism tailored to the application of large-scale air pollution monitoring...
Given that the market of wearables is in so-called hypergrowth mode, more and more of these on-body devices will interact with each other. These body-to-body, device-to-device links should not only provide reliable but also secure communication of personal user data. Therefore, we have analyzed the potential of using the unique reciprocal body-to-body channel between two legitimate parties, to create...
The Internet of Things (IoT) applications is envisioned to require higher throughput protocols because of the increasing data amount. To significantly enhance the network throughput between IoT devices, this paper proposes a new link-layer data forwarding technique that is aware of link correlation (LC) and supports receiver initiated acknowledgement (RI-ACK). We also propose a multicast communication...
Recent deployments of Smart Water Networks in urban environments are causing a paradigm shift towards sustainable water resources management. Nevertheless, there exists a substantial gap on respective solutions for industrial water treatment. In such deployments the wireless network backbone would have to overcome limiting factors that span across different layers of a protocol stack. Incorporating...
This paper introduces EveTrack, an online and distributed method for localization and tracking of global and composite events. Based on hyper-ellipsoid clustering model, we compute the percentage contributions of the individual attributes in multi-attribute and correlated events. In addition, EveTrack utilizes spatio-temporal correlations between multiple events during its event identification phase...
The energy-efficient data aggregation in Wireless Sensor Networks (WSNs) has grown as one of the promising area in many applications. Prior research works have suggested several spatio-temporal models for effectively reducing the data collection costs, but the models are limited to their specificity. This paper presents a pre-filtration method in every sensor node. While using pre-filtration techniques...
In this paper, experimental results are presented for an encrypted wireless link between two body-worn sensor nodes fully integrated onto textile antenna platforms. Wireless communication between two persons walking in an indoor environment occurs over a unique physical propagation channel. For the purpose of data encryption, channel measurements are performed at both sides of the link, providing...
Modeling Statistically Dependent observations in a Wireless Sensor Network (WSN) environment is considered by Copula approach. Copulas model dependence of several random variables. Multivariate distribution function with arbitrary marginal distributions can be constructed using copulas. This paper extends the copula approach for three sensor design with reference to 3-D model. Also mathematical model...
Data aggregation is an important mechanism to reduce energy consumption in Wireless Sensor Networks (WSNs). By investigating spatial and/or temporal correlation of raw data, sensor nodes can aggregate raw data to a meaningful digest instead of directly sending raw data to sink, this process is considered as data aggregation. Several aggregation works focus on the raw data, they use raw data to cluster...
Embedded and invisible computing resources are paving the way to a new paradigm known as ubiquitous computing. In this paradigm, more attention needs to be paid to the development of context aware applications. Several proposals for the development of these applications are based on a context awareness loop with four phases. First, monitoring context information (Collect). Second, analyzing the collected...
The wireless sensor network is a collection of programmed sensor nodes spatially distributed to monitor environmental conditions. Reprogramming is essential to update the changing requirements and also to fix the bugs in sensor nodes after it is deployed in a hostile environment. It is impossible to manually reprogram the sensor nodes once it is deployed. Hence, the sensor nodes are reprogrammed remotely...
Compressed Sensing (CS) is an innovative approach allowing to represent signals through a small number of their projections. In this paper, we address the application of CS to the scenario of 2D readings recovery from a Wireless Sensors Network (WSN) with excellent accuracy, while collecting only a small fraction of them at a data gathering point. CS requires a suitable transformation that makes the...
Missing data is an inevitable problem in wireless sensor network and the way missing values are handled can significantly affect the analysis results involving such data. To address data missing issues, spatial correlation and temporal correlation modeling can be applied. This paper aims at reviewing some popular spatial and temporal correlation based methods. The proposed review includes a critical...
Power utilized by Data centres and High Performance Computing (HPC) facilities are growing at a very high rate annually, the major consumer being the cooling system. Efficient thermal monitoring is required in order to avoid over/ under cooling of the facility. By efficiently placing sensors inside the facility, hotspots and over cooled areas can be identified and corrective measures can be initiated...
Data aggregation has been an important mechanism for achieving energy efflciency in WSN's. The aggregation reduces the transmission of redundant data which results in improved energy usage. A large number of data aggregation protocols have been developed in the past based on various techniques of optimizing the delay and energy. This paper surveyed the most prominent data aggregation protocols recently...
Energy Efficiency has been categorized as one of the major challenges for Body Area Networks (BAN) due to the limited power supply and expected long life of nodes and networks. This work proposes to reduce the energy consumption of BAN through monitoring and eliminating the spatial correlated contention in the BAN nodes. The issues of spatial correlation contention have been studied for traditional...
WSNs are good options to help monitor the scene of interest and notify the unusual happening to control center. But sensors' high sampling rates lead to tremendous network traffic over the bandwidth-limited and energy-critical WSNs, hence how to reduce the network traffic while maintaining the unusual events monitoring function becomes important. In this paper, we investigate the intra-correlations...
Wireless sensor network (WSN) is becoming more and more important with the development of Internet-of-things (IoT), it has been widely used to sense and monitor an area of interest in many scenarios. Since sensors in WSN can suffer from drift or errors with the increase of deployment time, the trustworthiness of sensor data will be affected. In this paper, an algorithm is proposed to detect and calibrate...
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