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The deployment of Wireless Sensor Networks to support optimal coverage is obviously a fastidious task, especially in hard to reach or inaccessible area. To address this problem, simplifying assumptions and simulations are commonly used techniques. However, these techniques may not be able to capture all the details about the problem to be solved. Hence, transition from the simulation to the actual...
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...
The existence of non-line-of-sight (NLOS) errors will considerably degrade the localization accuracy. Therefore, the NLOS node localization is investigated. In this article, we propose a NLOS node localization algorithm that utilizes the firefly algorithm. The objective function is established by the probability of propagation of NLOS and LOS according to the approximate maximum likelihood method...
In the past few years, wireless sensor networks (WSNs) have been increasingly gaining impact in the real world with with various applications such as healthcare, condition monitoring, control networks, etc. Anomaly detection in WSNs is an important aspect of data analysis in order to identify data items which does not conform to an expected pattern or other items in a dataset. This paper describes...
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...
It has been found that almost all routing protocols can induce network congestion due to control message complexity. To overcome this overhead various optimization processes are used. One such process is gossiping, where each node forwards a message with some probability, to reduce the overhead of the routing protocols. In this paper, we show how gossiping can be used to improve the performance of...
This paper investigates distributed fault detection of wireless sensor networks with a class of faulty sensor node, fault source isolation and networked communication topology accommodation design issue considering filtering performance. The wireless sensor network in this paper is composed of spatially placed sensors which has a changeable networked communication topology, different state-space representations...
This paper considers a wireless power transfer system with multiple antennas by using the multicarrier signal waveforms. A prior art optimizes the waveform with the channel state information at the transmitter (CSIT) to improve the energy harvesting efficiency of the receiver with the non-linear model. The impact of the imperfect CSIT on the energy harvesting capability is studied as a function of...
In this paper, we investigate the quality of information (QoI) maximization problem by jointly optimizing the sampling rate, packet-dropped rate, and transmit power in wireless sensor networks (WSNs). We consider a complicated but practical scenario, where various tasks with heterogeneous traffic are supported by one WSN simultaneously. Accordingly, the QoI maximization problem is formulated as a...
One-class support vector machines (OCSVM) have been recently applied to detect anomalies in wireless sensor networks (WSNs). Typically, OCSVM is kernelized by radial bais functions (RBF, or Gausian kernel) whereas selecting Gaussian kernel hyperparameter is based upon availability of anomalies, which is rarely applicable in practice. This article investigates the application of OCSVM to detect anomalies...
The use of sensing technologies in industrial environments has opened many possibilities for monitoring and control applications, driving much research efforts in the last years. Among the challenging issues related to industrial wireless sensor networks, efficient nodes deployment is a major concern since it can directly impact the way sensors operate, which has demanded proper solutions. When sensing...
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...
Efficient utilization of sensor energy to prolong the WSN' lifetime is proposed in this paper. A hybrid PSO Genetic sleep scheduling algorithm for WSNs to escape the local optima trap is the focus of this work. The proposed scheme uses a new parameter: Local Optimum Detector (LOD) for switching from PSO to GA algorithm in order to escape to the local optima trap caused by PSO.
The widespread use of mobile devices has led to the continuous innovation of information service technology. This paper analyzes the problems of service implementation in the absence of infrastructure, and proposes a service optimization solution in wireless mobile network environment, which is designed from three levels of service deployment service framework and service optimization, and effectively...
For the WSNs lifetime optimization, the non-disjoint set covers (NDSC) based coverage control approach has brought out a better performance. In addition, it yields a promising indicators in term of reliability, resilience and the possibility to be used for heterogeneous WSNs. This paper addresses the WSNs resiliency assessment via NDSC approaches to WSNs lifetime optimization. We investigated the...
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...
In many security systems, it is sufficient to monitor a certain territory with the same type of devices in such a way that each point of the territory falls into the coverage area of at least one device while minimizing the energy consumption of the devices. However, in some security systems, it is necessary to observe objects from a certain side. For example, to identify a person you need to see...
In this paper the optimization process of a wireless body area network is presented. The optimization goal is to improve the performance of the body area sensor network with respect to the on-body transmission channel and off-body link performance. The sensor network consists of one node with fixed position (1) towards the ear and two sensor nodes that are located on the chest (2) and the back (3),...
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