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Crowd sensing is an effective zero-cost method to map physical spatial fields by exploiting sensors already embedded in smartphones. The potentially huge amount of generated data and random measurement positions represent serious challenges to be addressed. In this paper we propose a combined Gaussian process (GP)-State space method for crowd mapping whose complexity and memory requirements for field...
This paper presents a spatial-temporal aware analytical framework to solve the truth finding problem in social sensing applications. Social sensing has emerged as a new big data application paradigm of collecting observations about the physical environment from social sensors (e.g., humans) or devices on their behalf. The collected observations may be true or false, and hence are viewed as binary...
Cognitive radio (CR) techniques promise to significantly increase the available spectrum thus wireless bandwidth. With the increase of spectrum allowed for CR, it is critical and challenging to perform efficient wideband sensing. We propose an integrated sequential wideband sensing framework which concurrently exploits sequential detection and compressed sensing (CS) techniques for more accurate and...
Ultra WideBand(UWB) Impulse Radio (IR) has huge advantages in target identification for its broad band, good concealment and strong ability to penetrate obstacles. We apply the UWB-IR technology theory in target identification under the foliage environment. It is different from the traditional radar and wireless sensor network (WSN), for it combines forward communication and target identification...
Stress affects people's health and well-being of the world's economies. Despite the progress in physiological stress recognition, there are problems that require solutions in the creation of automated systems of stress determination in prolonged real-life situations. These tasks are analysis of stress in daily life, during physical activity and personalization of this analysis. We described these...
The machine-to-machine (M2M) communication network is a promising concept to improve the user experience. The M2M communication enables two M2M devices in proximity of each other to establish a direct local link and bypass the base station. Machine-to-machine communication can be applied to various important fields, such as military applications, public safety, environmental monitoring, commercial...
The recent advances in microelectronics and related fields have made the dream of intelligent spaces and objects come true. Reduction of technology costs, powerconsumption and form factor is enabling to exploit increased processing capabilities of sensor nodes and to distribute the intelligence in the environment. In this paper, significant examples of on-going research on smart environments, sensorized...
This paper presents an improved algorithm for mitigating non-line-of-sight (NLOS) error in time-difference-of-arrival (TDOA) positioning applications employing ultra wideband (UWB) signals. The main idea of the algorithm is based on calculating the residuals for the different subsets formed by the reference nodes. The final estimate is a linear summation of the estimate from the different sets weighted...
To deal with the existence of malicious secondary users bring damage to the performance of cooperative spectrum sensing, a trust game model named FRTrust is proposed. In FRTrust, the reputation status is used to describe the performance of a secondary user in cooperative spectrum sensing process. It encourages secondary users to choose positive and honest behavior strategies for greater and long term...
One of the key challenges in operational trust management is to continually monitor the behavior of a node and update its trust score accordingly - evidently, both speed and accuracy is of great importance here. To achieve these goals, several papers have explored the concept of mutual revocation (sometimes termed suicide) wherein the trust value of both the accuser and the accused node are temporarily...
Vehicle following system is a branch of ITS (Intelligent Transportation System). The tacking accuracy is a vital evaluation criterion of the vehicle following system. This paper proposes a partial flexibility model for the vehicle following algorithm to promote the accuracy. We suppose that the follower vehicle is connected to the leader vehicle with a virtual flexible bar with two rigid joints. As...
Localization is a major issue and a challenging task for underwater acoustic networks. The characteristics of underwater acoustic networks are fundamentally different from that of terrestrial networks. For example, it is not easy to get GPS into water and underwater acoustic networks often just have few anchors. Thus many of the localization schemes for terrestrial networks cannot be used directly...
In this paper, a dynamic sampling rate adjustment scheme is proposed for compressive spectrum sensing in cognitive radio network. Nowadays, compressive sensing (CS) has been proposed with a revolutionary idea to sense the sparse spectrum by using a lower sampling rate. However, many methods for compressive spectrum sensing assume that the sparse level is static and a fixed compressive sampling rate...
This paper shows that a laser range finder and four artificial reflectors can be used to determine the position of a mobile robot in a three-dimensional (3D) working space provided that the four reflectors are not installed in the same plane. Moreover, a particle swarm optimization (PSO) algorithm is used to filter possible measuring errors. To show the feasibility and accuracy of the proposed method,...
In this paper we discuss the importance of feedback in therapeutic exergaming. It is widely believed that exergaming benefits the patient in terms of encouraging adherence and boosting the patient's confidence of correct execution and feedback is essential in achieving these. However, feedback and in particular visual feedback, may also have potential negative effects on the quality of the exercise...
We consider a distributed opportunistic spectrum access (D-OSA) scenario in which multiple cognitive radio (CR) users attempt to access a channel licensed to some primary network. CR users operate on a frame-by-frame basis and need to carry out spectrum sensing at the beginning of each frame to determine whether the primary network is active or idle. Upon detecting the primary network being idle,...
To improve the performance of spectrum sensing, cooperation among Cognitive Radios (CRs) has been proposed recently as an effective solution. A great part of the existing spectrum sensing algorithms adopt synchronous spectrum sensing method, while the rest asynchronous spectrum sensing algorithms have a severe demand for terminals' sensing performance. This paper proposes a novel Triggered Asynchronous...
Besides sensing the environment variables and detecting the events in the deployment area, tracking of objects has gained much attention in the wireless sensor network research fields. Unlike the other range-free localization schemes which are not effective in real time performance, we propose a mechanism based on the received signal strength to develop real time object-tracking strategy, which determines...
We study target tracking with wireless sensor networks in its most basic form, assuming a binary sensing model in which each sensor can return only 1-bit information regarding target's presence or absence in its sensing range. A novel, real-time and distributed target tracking algorithm for imperfect binary sensing models is proposed, which is an extension of our previous work on the ideal binary...
Localization is one of the critical tasks of the wireless sensor networks (WSN). Many applications such as environment monitoring, location service and target tracking need the sensors' location. In this paper, we propose a novel range-based distributed localization algorithm - S-MRL (sampling and Malguki refinement localization). Our algorithm is simple and simulation results show our algorithm achieves...
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