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Barrier coverage is a critical issue in Wireless Sensor Networks (WSNs) for various battlefield and homeland security applications. In this paper, we address the problem of how to efficiently heal coverage holes in hybrid Wireless Sensor Networks (WSNs) by relocating mobile nodes, and propose a hole recovery strategy called Minimal Patching Barrier Healing Strategy (MPBHS). In our strategy, a definition...
Android has become the most prevalent smartphone operating system. Despite its popularity, Android has a lot of flaws in security. In this research study we target a wide range of smartphone applications that share secret and local data with the service provider so that this data will not be leaked or accessed by other entities. The StoreDroid framework, described in this paper, addresses possible...
With the rapid developing growth of information technology and communication, the devices equipped with various network functions connecting each others are more popular. In order to efficiently manage those devices, the Internet of Thing (IoT) technology is adopted. IoT is an emerging concept of the network which allows any object in the real world is connected together at anytime and anywhere through...
In dense mobile wireless sensor networks, it is desirable to gather sensor data with as low traffic as possible. When an application requires geographical boundaries of sensor readings, it is able to satisfy the requirement while reducing traffic by gathering sensor data only from nodes located close to the boundaries. In order to do so, it is necessary to detect nodes located close to the boundaries...
We present an advanced and resilient solution for equipping first responders with survivable high-performance communications and Internet-of-Things (IoT) services in day-to-day operations and in disaster relief missions. The system provides intervention teams with transparent connectivity by leveraging any available professional, commercial or ad-hoc communication network using advanced future networking...
Mobile devices with sensing capabilities have enabled a new paradigm of mobile crowdsensing with a broad range of applications. A major challenge in achieving a stable crowdsensing system in a large scale is the incentive issue for each participant. Proper incentive mechanisms are necessary to keep the crowdsensing working. However, most existing incentive mechanisms for crowdsensing assume the system...
The effectiveness of epidemic routing for information dissemination in energy harvesting wireless sensor networks is examined in this work. Here, information is to be disseminated from a few nodes to a considerable fraction of all other nodes in the network. The use of epidemic routing is motivated by the fact that, when sensors are supported solely by harvested energy, the sensors' availability and...
Spectrum sensing is a critical component for cognitive radio networks. Most of the spectrum sensing algorithms and performance analysis, however, assume that the secondary users are stationary. In this paper, we investigate the performance analysis of spectrum sensing by mobile secondary users. Two performance metrics, false alarm probability and miss detection probability, are thoroughly investigated...
The number of vehicles on roads keeps increasing continuously, making the management of traffic flow, especially in big cities more and more challenging. One of the key enablers for having smooth traffic flows and better mobility is to rely on real-time traffic monitoring systems. These systems allow road operators to implement intelligent traffic management strategies such as the dynamic adjustment...
The advancement of smart phones enables mobile users to collect data from their surrounding sensors using short-range wireless communication. However, the limited contact time and the wireless capacity constrain the amount of data to be collected by the mobile users. It is crucial for mobile users to collect sensing data that can maximize their data utility. In this paper, we propose a distributed...
Data collection from a crowd of mobile devices is an essential building block of emerging mobile sensing systems. In this paper, we propose an efficient information diffusion protocol for sensor data collection via an opportunistic network. The proposed method detects groups of pedestrians based on the history of radio connectivity between the nodes and maintains a local network (i.e., a cluster)...
Mobile sensor networks enable the monitoring of remote and hostile environments without requiring human supervision. Several approaches have been proposed in the literature to let mobile sensors self-deploy over a region of interest. In this paper we study, for the first time, the vulnerabilities of one of the most referenced approaches to mobile sensor deployment, namely the Voronoi-based approach...
The fundamental goal of education and training is to provide capabilities that can help humans improve performance and accelerate decision-making. Advances in mobile computing (e.g., sensor technology, context aware computing, and cloud computing) allow for the design of systems that goes beyond the traditional methods of simulation training to support adaptive learning. The focus of this paper will...
In this paper we present a data collection scheme using mobile sink in wireless sensor and actor networks (WSAN). In order to improve the performance of WSAN, mobile sink is introduced. The mobile sink is able to move through the monitoring area, collect the sensed data from the sensor nodes in the radio transmission range. Once the data from all sensors are collected, the mobile sink returns to the...
The trajectories of mobile seeds have a great influence on localization accuracy and efficiency. This paper presents a novel information-driven intelligent mobility-assisted wireless sensor network localization algorithm. Without requiring any prior knowledge of the sensing field, seeds' or pseudo-seeds' (common sensors which have been positioned) trajectories are scheduled dynamically aiming at position...
In participatory sensing (PS), users use smartphones to collect information related to a certain phenomenon of interest, and report their sensed data to the service provider through cellular or Wi-Fi networks. Previous studies on the incentive mechanism design for user participation often neglect the details of data reporting, which is non-trivial given the user mobility, location-dependent network...
This paper exploits smartphones to design a transportation activity survey system that investigates when, where and how people travel in an urban area. In such a system, the essential requirement is collecting and processing big data which will raise two critical issues, energy-conservation and scalability. To address the former issue, the GPS sleeping interval of a smart-phone is controlled by the...
Cognitive radio networks (CRNs) are envisaged to alleviate the spectrum and capacity shortage aggravated by the static spectrum allocation. They are crucial for meeting the requirements of wireless traffic explosion emerging with new wireless applications and services. However, the security of CRNs is critical for their practical usage and widespread proliferation. Therefore, the fundamental mechanism...
In cognitive radio, current trend is to utilize geolocation database for TV bands. Considering more dynamic bands in terms of primary user activity, however, necessitates the use of Radio Environment Map (REM), which is an advanced knowledge base that stores live multidomain information on the entities in the network and the environment. In Cognitive Radio Networks (CRNs), mobile nodes that are capable...
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