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Low energy consumption is one of the primary issues that have to be addressed in body area networks to prevent frequent battery recharges in the nodes. Such networks are being increasingly used to acquire sensory data that need to be processed in real-time. The Bluetooth Low Energy (BLE) protocol is an attractive solution for implementing personal area networks with reduced energy consumption, also...
We analyse the use of a ΔΣ-modulator in the nodes of a wireless sensor network, which is a new method to achieve long term synchronization. We consider star topology WSNs (Wireless Sensor Networks) with a central base station and address timing synchronization using low frequency realtime clocks. The WSN uses a beacon driven TDMA-protocol for bidirectional node/base communication. Between the beacons,...
Asset tracking systems developed around the Internet of Things paradigm are composed of a collection of various objects interconnected by different communication technologies. Each of these devices function through local and/or remote interaction with the real world or other devices and systems. The problem of ensuring a dependable and responsive middleware that is capable of handling and servicing...
This paper considers a scenario that a wireless sensor node is powered by harvesting energy from ambient solar energy and required the sustainable operation. Fuzzy inference system with reinforcement learning is used in this study for the dynamic energy management of the node in the energy harvesting environment. By interacting with the given environment, the proposed method adjusts the duty cycle...
Strict quality of service requirements of industrial applications, challenged by harsh environments and huge interference especially in multi-vendor sites, demand incorporation of cognition in industrial wireless sensor networks (IWSNs). In this paper, a distributed protocol of light complexity for congestion regulation in cognitive IWSNs is proposed to improve the channel utilization while ensuring...
Although home automation (HA) systems in the wired domain are widely accepted by consumers, in today's industry, the mega trend is steering HA systems along a wireless way. Theoretically, wireless solutions are able to provide HA systems with more flexibility and thus reducing engineering costs. In practice, however, deploying wireless HA systems actually requires more costs and efforts due to the...
Water scarcity and water stress issues pose a serious threat to the global population. The traditional way of manual meter reading is furthermore inconvenient and time consuming, and it wastes resources. This method is also unable to manage the sustainable water resources effectively since it requires efficient, accurate and reliable monitoring techniques that enable the utilities sector and consumers...
Wireless sensor networks can provide visual information from the monitored field when sensor nodes are equipped with low-power cameras. In general, visual monitoring applications supported by sensing technology will have to address many challenging issues when visual information has to be transmitted over resource-constrained sensors. When addressing energy efficiency, sensing redundancy can be exploited...
Impulse radio ultra-wideband (IR-UWB) ranging and localization have recently received significant attention due to the high accuracy and precision. This high accuracy can be exploited for many location aware applications in a wide variety of environments. Although most research efforts have focused on location-aware applications for indoor or outdoor environments, there are other environments, such...
Occupancy analytics refers to statistical analysis related to occupancy of users in a building to derive information and insights based on which control and management of building systems may be improved. We consider the use of a wireless sensors infrastructure in a lighting system to derive occupancy analytics. Specifically, radio received signal strength indicator (RSSI) values at wireless motion...
Wireless sensor networks are widely deployed in different industrial applications. Fault diagnosis of sensors is essential for maintaining a robust WSN operation. In this paper, we show faulty sensors diagnosis can be transformed into a pattern classification problem. We also introduce an efficient algorithm, called, Neighborhood Hidden Conditional Random Field, to recognize sensor states and the...
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