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Deployment of wireless sensor nodes can follow a Gaussian or a uniform distribution. In a given sensing field, sensor nodes can often be grouped into non overlapping subsets called clusters. Gaussian distribution is preferably used for realistic applications and can provide a reduction in energy hole problem and enhance intrusion detection capability. In this research paper, we proposed the cluster...
Coverage issue in directional sensor networks (DSNs) is different from traditional omni-directional wireless sensor networks (WSNs) due to the limited angle of view and adjustable working direction. This paper sets up a model of monitoring area and a model of sensing area according to the unique characteristics of directional sensor and then derives an optimization model for area coverage ratio maximization...
Exploiting camera sensors to conduct intruder detection has attracted a lot of research attention. Different from the traditional sensor with omni-directional sensing model, a camera sensor usually has a specified direction with a fixed sensing angle of sensing area. The sensing quality of coverage is critical to the application of coverage scheme. In this paper, we first investigate the complete...
Energy efficient cognitive radio networks can simultaneously improve spectrum efficiency (SE) and energy efficiency (EE) of wireless communication networks. This paper studies energy efficient spectrum sensing interval, spectrum sensing energy and transmit power allocation scheme of the secondary user (SU) in CR networks. The EE maximization problem subject to the transmit power constraint and average...
The method for an algorithmic correction of errors in determination of the angle parameters of three-component vector-measuring transducers installation in the body of a measuring device is presented. The factors influencing the metrological characteristics of three-component vector-measuring transducers with accelerometers are reviewed. The methods to reduce the errors defined by the constants characterizing...
Energy harvesting has been gaining a lot of attention in the past decade due to its ability to provide a-virtually-endless energy supply. Nodes in a Wireless Powered Communication Network (WPCN) depend, totally or partially, on the energy harvested from the Central Node (CN) which has a constant power supply. This work addresses a solution to the problem of lack of fairness in the distribution of...
The resource constraint is one of the top issues in the Internet of Things network. All activity in the network node should be carefully designed and managed to support the resource efficiency of the network. Hence, an energy efficient transceiver like ZigBee is popularly used as the infrastructure for the Internet of Things edge network. This paper presents our method for efficient ZigBee router...
Incorporating cognitive radio technology into wire-less sensor networks enables the sensor nodes to use the idle channels to meet their communication demands, but the spectrum sensing process inevitably brings extra energy consumption. Since cognitive sensor nodes are generally low-powered with limited batteries, we consider a novel spectrum sensing scheme with combined clustering and censoring for...
Mobile crowd sensing emerges as a new paradigm which takes advantage of the pervasive sensor-embedded smartphones to collect data efficiently. Many incentive mechanisms for mobile crowd sensing have been proposed. However, none of them takes into consideration the cooperative compatibility of users for multiple cooperative tasks. In this paper, we design truthful incentive mechanisms to minimize the...
Wireless Power Transfer (WPT) technologies aim at getting rid of cables used by consumer devices for energy provision. As long distance WPT is becoming mature, the health impact of WPT becomes increasingly important to consider. In this paper we look at how to maximize the wireless power transfer to remote devices, while maintaining a safe level of electromagnetic radiation (EMR) for humans that are...
The control and steering system for testing flow is presented in this publication. Multi-phase flow measurement technologies are still built and improved. There is a clear trend in the industry to implement more optimum related functions, where the focus is on active control and the monitoring system. Control related active optimum functions can only be realized with a system that allows electronic...
The paper presents the design and implementation of an integrated wireless network that support to the multiparametric geophysical monitoring network of the Campi Flegrei volcanic area. The wireless network is equipped with a tool for real-time monitoring and fault detection. The enhancement of the transmission system with respect to the previously existing one has been realized in view of the increased...
Environment perception is a key component of any autonomous system and is often based on a heterogeneous set of sensors and fusion thereof, for which extrinsic sensor calibration plays fundamental role. In this paper, we tackle the problem of 3D LiDAR-radar calibration which is challenging due to low accuracy and sparse informativeness of the radar measurements. We propose a complementary calibration...
This paper combines coverage control, random-walk and artificial potential method to deploy multi-copter type Unmanned Aerial Vehicles (UAVs). With the coverage control, it is able to deploy agents in the coverage area with arbitrary distribution based on the purpose of control. However, when initial position of agents concentrates on one location, it could be fallen into the local optimal solution...
Cognitive Radio (CR) is one of the most promising techniques for optimizing the spectrum usage. However, the large amount of data of spectral information that must be processed to identify and assign spectral resources increases the channel assignment times, therefore worsening the quality of service for the devices using the spectrum. Compressive Sensing (CS) is a digital processing technique that...
A hydrological sensor network is a comprehensive monitoring system which consists of varieties of hydrological stations. The spatial optimization of the deployment of these gauging stations is critical for obtaining hydrological information effectively, given that sensing resources are often limited. In this paper, we consider the hydrological station siting problem as a continuous location problem...
This paper deals with the optimization of sensing matrices and sparsifying dictionaries for compressed sensing systems. A gradient-based method with a new measurement strategy denoted as real mutual coherence is proposed. Further more, the sensing matrix is optimized by minimizing an objective function in which the target Gram is selected as Ψ Ψ, this choice has advantages to reconstruct real images...
With the increasing availability of Internet of Things (IoT) devices, and potential applications that make use of data from such devices, there is a need to better identify appropriate data processing techniques that can be applied to this data. The computational complexity of these applications, and the complexity of the requirements on the data processing techniques, often derives from the capabilities...
In this paper, the focus is on optimal sensor placement and power rating selection for parameter estimation in wireless sensor networks (WSNs). We take into account the amount of energy harvested by the sensing nodes, communication link quality, and the observation accuracy at the sensor level. In particular, the aim is to reconstruct the estimation parameter with minimum error at a fusion center...
Cognitive radio (CR) has been identified as an enabling technology toward meeting the high spectrum utilization efficiency demand in future internet-of-things (IoT) systems. Development of new spectrum sensing schemes better suited to CR-based IoT networks, which are typically heterogeneous with perfect network-wide synchronization difficult to achieve, is thus rather crucial. Motivated by the low-complexity...
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