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We present a privacy-preserving room occupancy estimation method using federated analytics of Bluetooth Low Energy (BLE) packets. By processing data locally and reporting only aggregated device counts, our approach preserves user privacy while achieving ...

IPv6, with its larger address space, is well-suited for IoT scenarios, allowing each device to have a unique address for efficient communication. However, its adoption in sensor networks is hindered by underdeveloped IPv6 infrastructure and compatibility ...

Multi-target tracking in sensor networks is a challenging problem, especially in scenarios where sensor observations are limited. Conventional centralized Kalman filters and distributed Kalman filters (DKFs) require each sensor to observe all targets, ...

Deployment optimization of 3-D sensor networks is essential for the overall cost of the system and the downstream tasks performance. The key of establishing realistic deployment is twofold: a high-fidelity mathematical programming model and an efficient ...

IEEE 802.11 (WiFi) only has two modes of trust---complete trust or complete untrust. The lack of nuance leaves no room for sensors that a user does not fully trust but wants to connect to their network, such as a WiFi sensor. Solutions exist, but they ...

In single-zone multi-room houses (SZMRHs), temperature controls rely on a single probe near the thermostat. This practice often results in temperature discrepancies that cause both thermal discomfort and energy waste. Automatic vent registers, among ...

Explainable AI (XAI) focuses on designing inference explanation methods and tools to complement machine learning and black-box deep learning models. Such capabilities are crucially important with the rising adoption of AI models in real-world ...

Distributed embedded systems are pervasive components jointly operating in a wide range of applications. Moving toward energy harvesting powered systems enables their long-term, sustainable, scalable, and maintenance-free operation. When these systems are ...

The proliferation of smart devices, sensors, autonomous robots, drones, and other similar instruments have profoundly changed the way of implementing and deploying systems in industrial and home environments, for diverse scenarios such as smart ...

LoRaWAN is a wide area network solution for large-area sensor networks; long range (LoRa) transmissions can be achieved, with low power transmissions, but only for very low bandwidth. One of the main challenges is the lack of guarantees in LoRaWAN, ...

The cost of building, renovating, and maintaining the physical healthcare environment is up to 6% of the total cost of providing healthcare. Despite being the fastest growing category of healthcare expenditure, few tools exist to understand the use of ...

Traffic forecasting is a critical task to extract values from cyber-physical infrastructures, which is the backbone of smart transportation. However owing to external contexts, the dynamics at each sensor are unique. For example, the afternoon peaks at ...

Low cost video sensors used for streaming video signals to help firefighters, require high bit rate due to uncompressed images. To increase spectral efficiency given a limited bandwidth, very high order constellations in high signal to noise ratio ...

Low cost video sensors used to help firefighters, require high bit rate. To increase spectral efficiency given a limited bandwidth, high order constellations can be used. These constellations are sensitive to hardware impairments. Therefore, this paper ...

Whether it be for environmental sensing or Internet of Things (IoT) applications, sensor networks are of growing use thanks to their large-scale sensing and distributed data storage abilities. However, when used in hazardous conditions and thus ...

Detecting and tracking items marked with passive RFID tags are essential in modern retail stores, in which the RFID tags are used for inventory control and checkout-free shopping. The issue addressed in this study is the optimal placement of RFID readers, ...

To overcome the problems of low coverage and detection accuracy in traditional detection methods, a multidimensional sliding window based active sleep node detection method for sensor networks is proposed. Firstly, we set up an active sleep node simulator ...

The consistently expanding traffic, different postponement delicate administrations and energy utilisation compelled prerequisites have carried gigantic difficulties to the ongoing correspondence networks in the transportation framework. Because of the ...

Most of the management and routing protocols in multihop wireless networks rely on strict connectivity condition among nodes. In this paper, we construct mathematical framework to model connectivity of wireless ad hoc and wireless sensor networks. We use ...

Wireless Sensor Networks used in aquatic environments for continuous monitoring are typically subject to physical or environmental factors that create anomalies in collected data. A possible approach to identify and correct these anomalies, hence to ...

Soil microbial fuel cells are a promising source of energy for outdoor sensor networks. These biological systems are sensitive to environmental conditions, therefore more data is needed on their behavior "in the wild" to enable the creation of an energy ...