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Energy harvesting has been gaining a lot of attention in the past decade due to its ability to provide a-virtually-endless energy supply. Nodes in a Wireless Powered Communication Network (WPCN) depend, totally or partially, on the energy harvested from the Central Node (CN) which has a constant power supply. This work addresses a solution to the problem of lack of fairness in the distribution of...
The problem of coverage in three-dimensional (3D) wireless sensor networks is challenging and hard. In this paper, we focus on the problem of k-coverage of a 3D field of interest (FoI), where every point is covered by at least k sensors. First, we propose three sensor placement strategies to guarantee k-coverage of a 3D FoI. Second, we compute the corresponding sensor density. Third, we investigate...
This article investigates a mobile control problem for a class of stochastic distributed parameter systems with moving boundaries by using mobile sensor-actuator networks(MSANs). The network induced randomly missing measurements among the sensors are introduced for their universal existence in sensor networks. The collocated sensor-actuator networks which can travel throughout the spatial domain are...
This paper identifies that the anycast communication pattern is needed in the Machine Type Communications (MTC), where there could be multiple MTC devices being deployed in the same area for the same type of data, the client only cares about the data being retrieved but not where the data comes from. Currently the MTC server can provide such anycast service, but with large signaling overhead and bandwidth...
The paper discusses a solution to allow permanent access to a cloud for the devices in mobile wireless sensor networks. Concepts like Dew Computing DC distributes the cloud infrastructure but has a lack of mobility. Seamless connectivity for applications and services is ensured by implementing a mobility system over different access technologies relying on dynamic context-based routing mechanism in...
As a new method of the Internet of Things (IoT), the mobile crowdsensing provides a novel way to realize the ubiquitous social perception. From the point of the game theory, this paper addresses the reputation incentive mechanism and discusses the prisoner's dilemma in the mobile crowdsensing. Firstly, we give a formal definition of the sensing user's contribution based on the accuracy in data analysis,...
Smart mobile devices are fundamental date sources for crowd activity tracing. Large-scale mobile networks and the Internet-of-Things (IoT) expand and become part of perva-sive and ubiquitous computing offering distributed and trans-parent services. With the IoT, Crowd Sensing is extended by Things Sensing, creating heterogeneous smart environments. A unified and common data processing and communication...
A Mobile Patient Monitoring System (MPMS) acquires patient's biosignals and transmits them using wireless network connection to the decision making module or healthcare professional for the assessment of patient's condition. An important research challenge in the MPMS is how to satisfy Quality of Service (QoS) requirements of biosignals delivery in the environment characterized by patient mobility,...
Because of the limited energies of sensors, efficient data gathering in wireless sensor network has been received a great deal of attention recently. To prolong the network lifetime, in this paper, we study the problem of scheduling a mobile sink to some specific nodes, termed anchor nodes in this paper, for data collection and reducing the energy consumption of data transmission. While considering...
The Manet or Mobile Ad-Hoc Networks are capable of forming wireless networks with different topologies. The radios which form the network uses a specific band, data rate and frequency. The paper focuses on the implementation of intelligent Mobile Ad-hoc NETwork (iMANET) in which wireless networks are established using reconfigurable radios so that intelligent networks can be formed. The nodes involved...
The exploitation of mobile social networking technologies merging crowdsensing systems enable mobile users to opportunistically create participatory mobile social networks based on not only common attributes, interests or contacts, but also mobility-related context, such as physical location and co-presence. Disaster management and mobile healthcare applications can benefit from the possibility of...
Contrast to the two-dimensional directional sensor networks, the three-dimensional directional sensor networks increases complexity and diversity. External environment and sensor limitations impact the target monitoring and coverage. Adjustment strategies provide better auxiliary guide in the process of self-deployment, while strengthen the monitoring area coverage rate and monitoring capability of...
Anticipatory mobile computing is an emerging research field in pervasive environments. However, building multiple anticipatory applications to proactively support a user on his behalf still involves a disproportionate effort through their interdisciplinary nature and individual complex development from scratch. In this paper, we present architectural concepts and a reference implementation of a distributed...
In this article, a mobile control scheme is proposed for a class of stochastic distributed parameter systems with time-dependent spatial domains with the aid of a mobile actuating device equipped with a simple output feedback controller. The almost locally distributed state information is assumed to be provided by sensors dotted about the spatial domain where the moving actuating device is able to...
This paper presents ThinGs In a Fog (TGIF)- a system designed to support interdisciplinary research that fall under the broad context of the Internet of Things. The framework is based on an Edge Computing system design that distributes application processing to system compute nodes leveraging geographic compute location diversity of a Cloud-to-the-edge to support machine-to- machine interactions that...
In this paper, we develop a framework for an innovative perceptive mobile (i.e. cellular) network that integrates sensing with communication, and supports new applications widely in transportation, surveillance and environmental sensing. Three types of sensing methods implemented in the base-stations are proposed, using either uplink or downlink multiuser communication signals. The required changes...
The processing time of real-time sensing, data analytics and other applications is an important performance metric. When the application is being executed on a distributed system, the load balancing scheme among processing nodes significantly affects the total processing time of the application. We consider a load balancing scheme for distributed computing at the edge of the network. In the edge model...
Node buffer size has a big influence on performance of Mobile Opportunistic Networks (MONs). This is mainlybecause each node should temporarily cache packets to deal with the intermittently connected links. In this paper, we study fundamental bounds on node buffer size below which the network system can not achieve the expected performance. Given the condition that each link has the same probability...
Mobile CrowdSensing is a new paradigm in which requesters launch tasks to the mobile users, who provide the sensing services. The tasks, in practice, often have various spatiotemporal requirements, which make it hard to select suitable user set to perform the tasks. In this paper, we use the mobility prediction model to deal with this challenge and then propose the user selection algorithm to solve...
Participatory sensing has been emerging as an economical and practical way to collect and share information on the surrounding environment. The information includes both physical data produced by embedded sensors in the smart device and the observation and reasoning from human participants. However, most of the existing participatory sensing applications lack multi-functional capabilities; they are...
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