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Human flow counting is a fundamental task in public space management. Counting flow correctly may help prevent overcrowding hazards and improve public safety. This study proposes an automated device-free flow counting system by exploiting radio frequency irregularity in a wireless sensor network. As people pass through the line-of-sight between transmitters and receivers, radio frequency transmission...
Estimation-based backoff algorithms for channel access are being widely studied to solve the wireless channel accessing problem especially in super dense wireless networks. In such algorithms, the accuracy of the channel state estimation seriously determines the performance. How to make the accurate estimation in an efficient way to meet the system requirements is essential in designing new channel...
Multiple-input multiple-output (MIMO) systems constitute an important part of todays wireless communication standards and these systems are expected to take a fundamental role in both the access and backhaul sides of the emerging wireless cellular networks. Recently, reported measurement campaigns have established that various outdoor radio propagation environments exhibit sparsely structured channel...
Energy consumption is a major problem in Wireless Sensor Networks (WSNs) since in most scenarios nodes operate on batteries with reduced size and low capacity. Battery lifetime estimation is therefore crucial to evaluate the network behavior over time. In addition, battery lifetime estimation is a major challenge since it depends on many factors, such as the duty cycle of supported applications and...
Recently, wireless networking technologies have been evolving to support wider bandwidth, and longer radio range in denser networks. Therefore, there is a high probability that two or more networks will overlap and result in more co-channel interferences. To mitigate the interference, the centralized network system is a promising solution which is based on the conflicts information provided by the...
Wireless localization systems based on determination of signal runtime (TOA/TDOA) are of great importance for a variety of applications. In many cases, synchronization of the clocks of the agent nodes to those of the network nodes (anchors) has to be performed together with the localization. The current paper investigates the fundamental accuracy limits of such a joint localization/synchronization...
Level set estimation (LSE) is the process of classifying the region(s) that the values of an unknown function exceed a certain threshold. It has a wide range of applications such as spectrum sensing or environment monitoring. In this paper, we study the the optimal LSE of a linear random field that changes with respect to time. A linear sensor network is used to take discrete samples of the spatially-temporally...
Real-time traffic surveillance is essential in today's intelligent transportation systems. This paper reports on the design of a novel, cost-effective, and intelligent real-time traffic monitoring systems using wireless smart sensor networks. Reliable and computationally efficient algorithms were developed for vehicle counting and speed estimation. The integration of system components and distinctive...
The efficiency of precision agriculture fundamentally depends on the exploration of bio-physical and bio-chemical plant parameters and the assessment of current crop conditions. The leaf area index (LAI) represents one of the most important crop parameters and is defined as the ratio of foliage area to ground area. It is widely-used in agriculture and agronomy as it indicates yield-limiting processes...
Localization is a mandatory requirement in Wireless Sensor Networks (WSNs). Many solutions focus on static networks and do not account for mobility. In this paper we present an extension of the Monte Carlo Localization method, which exploits the mobility behavior of certain applications in WSNs to reduce the localization error. Our approach called PO-MCL maps regular traveled paths of nodes to an...
Exploiting Radio Signal Strength Indicator (RSSI) estimation method to conduct indoor localization in wireless sensor networks offers a new approach to serve object tracking and improve the tracking precision. When the object is closer the line-of-sight link between the transmitter and the receiver, it is more likely to arouse the attenuation or amplification of the RSSI signal. In this paper, the...
Even though the wireless positioning in sensor networks has been extensively studied in the past decades, there is no contribution discussing positioning the receiver that belongs to another system, i.e., the third-party receiver. In this paper, we propose a new scheme to solve the problem by full-duplex rtechnique. In our scheme, we let the sensors conduct the full-duplex relay for the target receiver...
In this paper, we propose an Error Tolerant Dual-Hydrophone Localization method, i.e., ET-DHL, in underwater sensor networks (USNs). To reduce the impact of the node uncertainty, measurement uncertainty, poor link quality and long latency for underwater localization problem, ET-DHL adds bit-level probability to process the binary sequence. Different from our previous work PCM, each dual-hydrophone...
We present a low complexity experimental RF-based indoor localization system based on the collection and processing of WiFi RSSI signals and processing using a RSS-based multi-lateration algorithm to determine a robotic mobile node's location. We use a real indoor wireless testbed called w-iLab.t that is deployed in Zwijnaarde, Ghent, Belgium. One of the unique attributes of this testbed is that it...
The indoor localisation problem is more complex than just finding whereabouts of users. Finding positions of users relative to the devices of a smart space is even more important. Unfortunately, configuring such systems manually is a tedious process, requires expert knowledge, and is sensitive to changes in the environment. Moreover, many existing solutions do not take user privacy into account. We...
Link estimation is a fundamental component of forwarding protocols in wireless sensor networks. In low power forwarding, however, the asynchronous nature of widely adopted duty-cycled radio control brings new challenges to achieve accurate and real- time estimation. First, the repeatedly transmitted frames (called wake-up frame) increase the complexity of accurate statistic, especially with bursty...
Magnetic motion control of wireless biomedical capsule (WBC) have been a popular research topic recently. Use of embedded permanent magnet inside WBC and magnetic sensors outside the human body produces a magnetic field around passive WBC. This helps to calculate position and orientation of the WBC inside the human body as well as moving the WBC via magnetic force. In this paper, we present a hybrid...
Indoor localization has been an active research area for the last two decades. This emerged in the context of providing a mobile robot the capability to conduct navigation tasks in indoor environments. Although the sensing technologies and techniques proposed for indoor robot localization have proven to be reliable solutions, these cannot be adopted as a solution to people or object localization for...
Realistic traffic modeling plays a key role in efficient Dynamic Spectrum Access (DSA) which is considered as enabler for the employment of wireless technologies in critical industrial automation applications (IAA). The majority of models of spectrum usage are not suitable for this specific use case as they are based on measurement campaigns conducted in urban or controlled laboratory environments...
In the Wireless Multimedia Sensor Networks (WM-SNs) field, real-time multimedia flow increases the probability of collision and congestion in sensor network which degrade the performance of Quality of Service (QoS). How to meet the high QoS requirement of WMSNs applications under the condition of energy constraint is a crucial issue. In this paper, we propose a predicted available bandwidth estimation...
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