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Motivated by earlier work on adaptive event forecasting, this paper proposes a procedural event signature extraction method for wireless sensor networks, and a probabilistic approach to model non i.i.d. (independent and identically distributed) aperiodic traffic, which is then used to demonstrate the effectiveness of the proposed signature extraction method in support of reliable event forecasting...
Wireless Body Sensor Networks (WBSNs) have proved to be a suitable technology for supporting the monitoring of physical and physiological activities of the human body. However, avoiding erroneous behavior of WBSN-based systems is an issue of fundamental importance, especially for critical health-care applications. In this regard, proper self-healing techniques should be able to fulfill requirements...
Industrial wireless applications have stringent requirements of safety, data update rate, time delay, reliability, failure tolerance, and security. In this paper, a concept of cell-based mesh networks is proposed, and the performance is evaluated by computer simulations. The results show that the average number of hops from sensor nodes to the backbone routers and the average route cost are significantly...
In cognitive radio (CR) networks, there is a common assumption that the secondary devices always obey the spectrum access rules and are under full control. However, this may become unrealistic for future CR networks composed of intelligent, complicated and autonomous devices. To solve this problem, the concept of “proactive-optimization” cognitive radio (POCR) is proposed in this paper, in which the...
Sensor faults are the rule and not the exception in every WSN deployment. Sensors themselves may get stuck at a particular value or get partially disconnected and report noisy measurements. Sensor nodes may reboot unexpectedly or stop transmitting data. Software running on the sensor nodes may have bugs and may cause data loss. In this paper, we present an efficient approach for online data fault...
Accurate and efficient clock synchronization algorithm is very important in Wireless Sensor Network (WSN). The existing researches focus on exploring communication delay impact on clock synchronization in wireless sensor network. Considering the physical characteristics of the sensor itself, an adaptive clock synchronization method based on Expectation-Maximization (EM) algorithm is proposed. A general...
Sensors are capable of supporting multiple applications concurrently. Recent works reveal several possibilities of running multiple applications in a wireless sensor network. In this work, we introduce the compression factor to quantify the change of the message length due to the aggregations of application messages. Delay constraints are introduced for two communication paradigms in wireless sensor...
As the advances in sensing and wireless communication technologies, e.g., ZigBee, RFID, and WiFi, wireless sensor networks provide a promising opportunity to enhance underground environment monitoring, e.g., coal mine disaster monitoring. However, these wireless technologies suffer from signal distortion and short Non-Line-Of-Sight (NLOS). Furthermore, in underground disaster it is difficult to transmit...
In this article we analyze the diffusion normalized least mean square (NLMS) and its set-membership version (SMNLMS) diffusion algorithms in a scenario where sensor nodes are subjected to different noise variances. We show through simulation that the SM-NLMS is a more robust algorithm in such condition, in addition to the provided reduced energy consumption. We also show that, in such context, the...
We consider in-network distributed implementations of some stochastic approximation type estimation algorithms, subject to transmission constraints in wireless networks. Based on the analysis of asynchronous stochastic approximation schemes, we formulate the problem of optimizing the transmission schedule subject to constraints imposed by wireless transmission, so as to maximize the speed of convergence...
The well-known problem of estimating an unknown deterministic parameter vector over a linear system subject to additive Gaussian noise is studied from the perspective of minimizing total sensor measurement cost under a constraint on the log volume of the estimation error confidence ellipsoid. A convex optimization problem is formulated for the general case, and a closed form solution is provided when...
In this paper, we propose a method for recovering and classifying WSN data while minimizing the number of samples that need to be acquired, processed, and transmitted. The problem is formulated according to the recently proposed framework of Matrix Completion (MC), which asserts that a low rank matrix can be recovered from a small number of randomly sampled entries. The application of MC in WSN data...
Constant monitoring of patients without disturbing their daily activities can be achieved through mobile networks. Sensor nodes distributed in a home environment to provide home assistance gives concept of Wireless Wearable Body Area Networks. Gathering useful information and its transmission to the required destination may face several problems. In this paper we figure out different issues and discuss...
A brain stroke is defined as a disturbance in the blood supply of the brain. This can be due to either an obstruction in the blood vessels of the brain or a rupture in the blood vessels which causes a leakage of blood in the brain. In many cases, a stroke results in the death of the patient within 24 hours. Hence, it is crucial that the neurologist has immediately contact with the patient in the first...
In this paper we define and evaluate a Speech Indicator (SI) basing on acoustic data extracted by a Wireless Sensor Network (WSN) in a noisy environment. This way we want to exploit the potential benefits deriving from Voice over Wireless Sensor Networks (VoWSNs). A WSN topology for audio surveillance is proposed in order to identify and quantify voice presence and to activate a noise cancellation...
This paper extends the novel research for event localization and target-directed navigation using a deployed wireless sensor network (WSN) [4]. The goal is to have an autonomous mobile robot (AMR) navigate to a target-location by: (i) producing an artificial magnitude distribution within the WSN-covered region, and (ii) having the AMR use the pseudo-gradient from the interpolated distribution in its...
The paper is dealt with the Kalman (or H2) fixed-interval and fixed-lag smoothing problem for wireless sensor networks (WSN) with multiplicative noises. Packet loss occurs in the observation equations, and multiplicative noises both occur in the system state equation and the observation equations. The Kalman smoothers which include Kalman fixed-interval smoother and Kalman fixed-lag smoother are given...
The main purpose of this paper is to construct a data accuracy model for the maximal set of sensor nodes that sense a point event and forms a cluster with fully connected network between them. We determine the minimal set of sensor nodes that are sufficient to give approximately the same data accuracy achieve by the maximal set of sensor nodes.
Requirements of Wireless Sensor Network application which are limited power, required energy and moderate performance has been forced the Wireless Sensor Network transceiver designers toward an adaptive transceiver structures. To address the above mentioned concerns, a low-noise amplifier integrated in 2.4 GHz, in 0.18 μm CMOS technology is developed. The proposed LNA can operate at 1.8 V supply voltage...
The decentralized detection of events is a primary task in many applications of wireless sensor networks. Since energy consumption is the main constraint in networks of battery-powered sensors, as it limits their lifetime, taking explicitly into account the energy costs in the design of any decentralized detection algorithm becomes a major issue. Based on state-of-the-art censoring techniques and...
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