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Nowadays, wireless sensor networks (WSNs) have become omnipresent. Also location-based services become more and more popular. In this context, energy- and location-awareness are essential properties of modern sensor networks. Addressing low-power positioning, received signal strength indicator (RSSI)-based direction finding is a prospective approach for WSNs providing location-based services. However,...
In this paper, we first form a sensor using low power and low cost components, that is, MSP430G2553 microcontroller, nRF24L01+ communication unit, and a Light Dependent Resistor (LDR). Then, by communicating such sensors with a Fusion Center (FC), we form a Wireless Sensor Network (WSN). Sensors measure the light intensities at their locations and send their measurements to the FC. Then, FC forwards...
In this study, it is aimed to find the position of a signal emitter by the means of a mini unmanned aerial vehicle (mUAV) with a sensor node that can record the received signal strength (RSS) and the global positioning system (GPS) data. The RSS and GPS data are instantaneously transferred to the central node in order to establish a real-time positioning and tracking system. A cumulative maximum likelihood...
A new centralized clustering protocol for periodic traffic wireless sensor networks is proposed in this paper. The proposed protocol uses one-step off-line cluster computation algorithm, where all the clustering schemes and their respective durations are calculated by the base station (BS) once at the network initialization. This provides the BS a global vision and enables it to reach better clustering...
This paper investigates the collaborative estimation and control problem of wireless sensor and actuator networks (WSANs) in the greenhouse environments. In order to reduce the energy consumption of the sensor nodes, each node is designated to transmit data to the actuator nodes under the non-uniform transmission rate mode. Considering the mutual effect of related clusters, a collaborative control...
Speaker localization and counting in real-life conditions remains a challenging task. The computational burden, transmission usage and synchronization issues pose several limitations. Moreover, the physical characteristics of real speakers in terms of directivity pattern and orientation, as well as restrictions in the microphone array positioning, which commonly have to be placed close to walls, deteriorate...
Internet of things (IoT) integrate the technologies such as sensing, communication, networking and cloud computing in wide range monitoring zone. For applications of IoT, the most appropriate monitoring network is wireless sensor networks (WSN). It is most important to develop energy efficient cluster head (CH) selection scheme to increase the network lifetime of WSNs. It is most crucial to save the...
The conventional positioning systems require the users to carry an electronic device, which helps in the localization process. Device-free Passive Localization (DfPL) techniques are used to position the users in a passive manner such that they do not engage in the process. A typical DfPL setup comprises of Wi-Fi Access Points (APs) that transmit periodic signals to Monitoring Points (MPs). Any intrusion...
Propagation characteristics have locality in a multipath fading environment. The locality is utilized for various techniques using radio wave. Recently, on the other hand, new techniques to break the locality have been studied. In the techniques, received signals at arbitrary locations are estimated from remote receiving points. We present in this paper a new estimation technique of received signals...
Small world characteristics (SWC) have been observed and studied in a wide range of disciplines such as social, biological, electrical and computer networks. However, the significance of SWC in wireless sensor network (WSN) applications has hitherto not been investigated. This work investigates the significance of introducing SWC in a conventional WSN for improving the accuracy of WSN node localization...
This paper studies the problem of distributed parameter estimation in wireless sensor network under energy constraints. Optimization formulas that guarantee the best estimation performance from the available energy are derived. The network consists of sensors that are deployed over an area at random. Sensors' observations are noisy measurements of an underlying field. Sensors have limited energy for...
Industrial systems demand high degree of reliability and real-time requirements in communications. To meet the stringent real-time performance requirements of control systems, there is a critical need for estimation system schedulability before system running. Concerning this issue, in this paper, we propose a supply/demand bound function analysis approach based on earliest deadline first scheduling...
One of the most promising ways of bringing localization services to GPS denied areas is the use of wireless sensor networks. For time difference of arrival (TDOA) systems, the achievable accuracy highly depends on the synchronization accuracy between the sensor nodes. In this paper we describe a new algorithm that achieves an ultra-precise wireless frequency synchronization using OFDM signals. Especially...
Wireless sensor network will become isolated in various associated segments because of the disappointment of some of its hubs, which is known as a “cut”. In this paper, authors acknowledge the issue of distinguishing cuts by the remaining hubs of a wireless sensor network. System proposes an estimation which grants every hub to identify at the time of accessibility to an extremely assigned hub has...
In this paper, we study the problem of sensor placement for field estimation, where the best subset of potential sensor locations is chosen to strike a balance between the number of deployed sensors and estimation accuracy. Potential sensor locations are generated by sampling a continuous field of interest. We investigate the impact of sampling strategies on sensor placement, and show that compared...
In long-term sensing applications data patterns can vary significantly over time. Often a multitude of sensors are used to measure different types of environmental conditions. Considering such variations it is hard to select a predefined sample rate that guarantees both, high data quality and energy efficiency. Hence, this paper presents a dynamic sample rate adaptation that strikes a balance offering...
Accurate localization of randomly deployed sensor nodes is critically important in wireless sensor networks (WSNs) deployed for monitoring and tracking applications. The localization challenge has been posed as a multidimensional global optimization problem in earlier literature. Many swarm intelligence algorithms have been proposed for accurate localization. The untapped vast potential of the artificial...
A distributed consensus algorithm for estimating the degree distribution of a graph is proposed. The proposed algorithm is based on average consensus and in-network empirical mass function estimation. It is fully distributed in the sense that each node in the network only needs to know its own degree, and nodes do not need to be labeled. The algorithm works for any connected graph structure in the...
Most recently, activity localization and recognition has increasingly attracted significant attentions due to its broad range of applications to support smart devices. Pioneer systems based on WiFi signals usually require six to eight antennas to localize the activity while the commodity WiFi infrastructure does not meet this requirement. In addition, they also require the priori learning of wireless...
The ongoing decrease in the cost of handheld wireless devices, coupled with the growing demand for these, has increased the demand for localization applications. Consequently, position estimation is a problem that has been addressed using a variety of technologies. Owing to the simplicity of radio signal strength (RSS) methods, the most recent research on localization using wireless sensor networks...
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