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Sensing Spatial Coverage (SSC) is one of the main Quality of Service (QoS) measures in a Wireless Sensor Network (WSN). This quantifies the WSN monitoring ability. The initial phase of WSN implementation is to determine how many sensors with specific sensing ability are required for the intended application or scenario. For this purpose, the sensing profile of the sensors should be known. Most of...
Energy resource management is considered essential in battery-operated Wireless Sensor Networks (WSNs). Radio communication circuitry is a significant power consumer in a WSN. Therefore, it is desired to design an efficient routing algorithm which conserves the battery power as much as possible, resulting in a longer network lifetime. Lifetime-aware routing protocols were suggested to distribute the...
We live in an era where billions of computers are interconnected. In the very near future, not only computers but also many different digital devices and other physical objects will be seamlessly connected to each other and be able to communicate with little or no human intervention. These interconnected objects are called smart devices, and this concept is called Internet of Things. In this paper,...
In this paper, we describe a distributed delay and sum beamformer (DDSB) for speech enhancement based on a randomized gossip algorithm. The proposed algorithm operates in a randomly connected wireless sensor network. Without any network topology constraint, the DDSB estimates the desired signal at each node by only exchanging information with its neighbors. Since the DDSB performs only local signal...
In our previous work, we developed efficient field reconstruction methods in wireless sensor networks. In this paper, we use an amplify-and-forward to transmit the sensor measurements to the fusion center and we derive the mean square error (MSE) of the reconstructed field as a function of the measurement and receive SNR and of the sensor positions. We propose to allocate the sensor node transmit...
This paper develops a framework for the estimation of a time-varying random signal using a wireless sensor network. Given a continuous time model, sensors collect noisy observations and produce local estimates according to the discrete-time equivalent system defined by the sampling period of observations. Estimation is performed using a maximum a posteriori probability estimator (MAP) within a given...
In this paper we present a computational-efficient two-phases model for localization and tracking based on Kalman filter. A first estimate of target position is obtained via Super MDS algorithm only using noisy distance measurements, then location information is refined via a classic Kalman Filter exploiting the noisy acceleration of the target. The main scientific contribution of this paper is to...
We propose a consensus algorithm for distributed average computation in a decentralized wireless network. In contrast to gossip-based schemes that operate on the network layer, our scheme is performed on the physical layer and exploits the broadcast character of the wireless channel. For the proposed scheme the sensor nodes in the network are partitioned into two groups of nodes. The nodes of each...
Wireless sensor networks (WSNs) are widely used due to they are easy and rapid deployed, low cost, low power, self-organized, cooperatively collect the environmental information and realize the integration of the physical world and communication network. It is the fact that due to open nature of the wireless medium an adversary can easily eavesdrop and replay or inject fabricated messages. Different...
This paper presents an ultra-low-power (ULP) 2.3/2.4GHz multi-standard transmitter (TX) for wireless sensor networks and wireless body area networks. Several 2.3/2.4GHz wireless standards have been proposed for such applications, including IEEE802.15.6 (BAN) for body area networks, IEEE802.15.4 (Zigbee) and Bluetooth Low Energy (BLE) for sensor networks and IEEE802.15.4g (SUN) for smart buildings...
In wireless sensor networks (WSNs), sensor nodes with limited resource usually need to exchange information with neighbor nodes to collaboratively finish some tasks. Based on minimum error covariance trace principle, a class of distributed optimal Kalman filters (DOKF) is proposed to cooperatively process information in WSNs, where each sensor node communicates only to its neighbors. To reduce computation...
This paper deals with the problem of tracking a target, which has a sinusoidal trajectory, moving through the environment of underwater wireless sensor networks (UWSNs). This paper addresses the issues of estimating the states of the target, improving energy efficiency by using a distributed architecture. Each underwater wireless sensor node composing the UWSNs is battery-powered, so the energy conservation...
In this paper we present a methodology to model and simulate jamming attack in Wireless Sensor Networks. The Wireless Sensor Network is described using the MARTE profile. In the UML/MARTE models Wireless Sensor Network is specified, defining the nodes that composed the network and characterizing the communication established among these nodes in the network.
As the technology scales down to 90nm and below, leakage current/ power is becoming one of the most critical concerns for low power applications. 40% or even higher percentage of the total power consumption is waste due to the leakage of the transistors. This paper compares the performance of two SRAM cell topologies, which includes the conventional 6T-cell and the 7T-cell. In particular the static...
This paper investigates the use of a sensor network for localizing and tracking a moving target using only binary data. Due to the simple nature of the sensor nodes, sensing can be tampered (accidentally or maliciously), resulting in a significant number of sensor nodes reporting erroneous observations. Therefore, it is essential that any event tracking algorithm used in Wireless Sensor Networks (WSNs)...
This paper investigates target detection problem in wireless sensor networks. Sensors carry out sensing operations and make consensus decisions about the presence or absence of a target or event. Most of previous studies for target detection either assume an unrealistic disk model for making detection decision or provide complicated numerical methods to evaluate detection performance. This paper develops...
Detection of Radioactive rays is essential research in Nuclear Physics field. This paper deals with the design of radioactive wireless sensor by a novel approach of Principal component analysis (PCA) and with a realizable scintillator design. Former, very few radioactive sensor sensed β rays only from radioactive element by wired network. But innovatively, the proposed wireless radioactive sensor...
A fading Multiple Access Channel (MAC) between distributed sensors and multiple antennas yields incoherent fusion in Wireless Sensor Networks. With limited on-board energy, an overall sensor power constraint is not only reasonable and desirable but indeed, inevitable. With unknown/varying channel gain envelope, Uniform Power Allocation (UPA) to sensors is suboptimal. The problem is compounded if,...
Wireless sensor networks (WSNs) are widely used. They are easily and rapid deployed, low cost, low power, self-organized, cooperatively collect the environmental information and realize the integration of the physical world and communication network. However, for most WSNss the open nature of the wireless medium an adversary can easily eavesdrop and replay or inject fabricated messages. Different...
Spectrum monitoring is important to ensure the safe operation of mission critical systems as well as the satisfactory performance of non-critical applications over wireless. In this paper, we present a novel blind technology identification (BTI) approach that utilizes only binary representation of spectrum activities to identify transmission technologies that are present in the radio spectrum. Spectrum...
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