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A multihop wireless sensor network carrying adaptive low bit-rate video stream is to be considered. Using a novel cross-layer adaptive prioritization algorithm, denoted by CLPA, a thorough analysis of the composition of the frames being carried or dropped over the network is to be conducted. The results show how the used prioritization scheme, which favors the basic frames over the enhancement frames,...
Network coding (NC) has frequently been promoted as an approach for improving throughput in wireless networks. Existing work has mostly focused on the fundamental aspects of NC, while constraints arising in real-world network deployments have not received much attention. In particular, NC requires network nodes to overhear each other's packets, which oftentimes contradicts many security standards...
In a sensor network, each sensor has a limited energy supply. Therefore, it is critical to minimize the power consumed by each sensor to maximize its lifetime. Video sensor networks differ from conventional sensor networks in the fact that video compression at the sensor node consumes a significant amount of power comparable to that used for communication. This poses new challenges, and renders power...
This paper describes the digital system for neural recording and stimulation, which is designed for bionic neural link (BNL). The digital design for neural recording converts the multi-channel neural spikes as one trigger command and sends out via wireless channel. The digital stimulation design generates the adaptive arbitrary waveform to stimulate the muscle when a trigger signal comes. The digital...
Distributed storage coding has been widely applied on data gathering over unreliable wireless sensor networks (WSNs), where it is essential to ensure the data persistence in case of several sensor failures caused by battery run-out or some physical damage problems surroundings. How to efficiently disseminate and collect the sensing data over WSNs is a key challenge yet. In this study, assumed that...
The complexity of nodes in wireless sensor networks is an important variable that determines their size, cost, and functionality. When these factors are drastically minimized, new applications become possible in which nodes are not only truly ubiquitous in the environment, but also available in huge numbers. This article discusses concepts from neuroscience that will be useful in the miniaturization...
Recently, wireless sensor networks (WSNs) drew the attention of the research community, driven by a wealth of theoretical and practical challenges. Wireless sensor networks are formed by connected sensors that each have the ability to collect, process, and store environmental information as well as communicate with others via inter-sensor wireless communication. The many-to-one communication pattern...
Wireless security mechanism directly based on the physical layer is applied to achieve the desired safety performance in the wireless network environment. Security model in physical layer of wireless network based on percolation theory is built around the small world model and percolation theory. The model adopts rate-less code in channel coding scheme and selects the belief propagation algorithm...
This paper proposes a transmission method of compressed sensing as a source processing technology combined with network coding. In wireless sensor networks, using compressed sensing and network coding technology jointly, not only can reduce the times of packet transmission, but also improves the efficiency of data transmission and the throughput of the network. The scheme in this paper takes full...
In wireless sensor networks, sensor nodes are usually self-organized, delivering data to a central sink in a multi-hop manner. Reconstructing the per-packet routing path enables fine-grained diagnostic analysis and performance optimizations of the network. The performances of existing path reconstruction approaches, however, degrade rapidly in large scale networks with lossy links. In this paper,...
The design of a wireless data-glove is introduced in this paper, the aim is to provide an effective and complete solution wherever a tactile sensing system has to be integrated to correctly interact with the surrounding environment (e.g., astronaut's extravehicular activity glove). The focus is on the design of the whole system, starting with the readout circuit, the digital signal encoding and ending...
In this paper, we consider relay-aided wireless multicasting where one source transmits the same information to multiple destinations. We assume that there is a half-duplex regenerative relay station (RS) which may cooperatively assist the source. Our underlying problems are two-fold: when and how should the source and the RS cooperate to improve the multicast rate? Firstly, we show the required conditions...
The optimal configuration for a Large Scale Wireless Sensor Networks (LS-WSN) is the one that minimizes the sampling rate, the CPU time and the channel accesses (thus maximizing the network lifetime), with a controlled distortion in the recovered data. Initial deployments of LS-WSN are usually not able to adapt to changing environments and rarely take into account either the spatial or temporal nature...
The WSN standard IEEE802.15.4 basically uses frequency of 2,4 GHz for data transmission. This unlicensed frequency band is used by a variety of devices, standards and applications: IEEE802.11, Bluetooth and etc. In this paper is considered the increase of data transmission reliability increasing in WSN with the use of Residue Number System error correcting code. These codes have high correcting characteristics...
A scalable telemonitoring system for secure long-term monitoring of signals in life-science applications is presented that enables unobtrusive remote patient monitoring with small and lightweight general-purpose sensor nodes. Sensor data are sent to a retail smartphone via the ultra-low-energy wireless ANT protocol and forwarded over 2G, 3G or Wi-Fi to the cloud-based IPM-mHealth Portal that provides...
Recent technological advances in wireless body sensor networks (WBSN) have made it possible for the development of innovative medical applications to improve health care and the quality of life. Electroencephalography (EEG)-based applications lie at the heart of these promising technologies. However, excess power consumptions may render some of these applications inapplicable. Wireless (EEG) tele-monitoring...
This paper presents an efficient data gathering framework of network coding (NC) coupled compressed sensing (CS) in wireless sensor networks (WSNs), called network compressed coding (NCC). We employ network coding to adapt to the dynamic nature of WSNs, such as moving obstacles and link failure. Measurements from sensor networks are often correlated because sensors nodes nearby observe the contiguous...
We consider decentralized detection for wireless sensor networks. A sequential scheme based on level-triggered sampling is proposed. In the proposed scheme, sensors compute log-likelihood ratio (LLR) of their local observations, sample local LLR using level-triggered sampling and transmit a single bit at each sampling time to a fusion center (FC). At each sampling time excess LLR over (below) sampling...
This paper presents a multi-camera motion capture system aiming to provide caregivers with timely access to the patient's health status through mobile communication devices. The major components include video capture, object detection, video coding and transmission, error concealment, and video analysis. Our contribution is twofold. First, several novel ideas are developed, including fast object detection,...
Multi-hop over-the-air reprogramming is essential for the remote installation of software patches and upgrades in wireless sensor networks (WSNs). Recently, coding-based reprogramming protocols are proposed to address efficient code dissemination in environments with high packet loss rate. The problem of analyzing the performance of these protocols, however, has not been explored in the literature...
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