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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,...
The recent proliferation of mobile devices embedded with capable sensors, provides an opportunity to the popular concept of mobile crowdsensing. By studying the correlation of crowd-sensed data in both spatial and temporal dimensions, we can get a clear understanding of the intrinsic pattern of data in mobile crowdsensing, which is the basic for further data analysis, such as data filtering, smoothing...
As an efficient way to collect sensing data, participatory sensing has been receiving more and more attentions and its applications cover various areas such as traffic control and management, environmental monitoring, etc. In a participatory sensing system, Service Provider (SP) works as the task promulgator, Smartphone User (SU) works as the task executor and the Platform handles the sensing task...
In this paper, we study data collection in mobile wireless sensor networks (WSNs) assisted by unmanned aerial vehicle (UAV). We focus on randomly deployed mobile sensors along a predefined path with different but constant velocities, and a flying UAV in different heights to collect data from the mobile sensors. As the network topology is changing under the mobility of the UAV and the sensor nodes,...
Incentive mechanism is one of the most critical issues in the field of mobile crowd sensing, and plays an important role on ensuring the quantity of participants and the coverage rate of perceived data. In this paper, we review the existing research, and propose a "5W1H" model to serve the study on incentive mechanism. Moreover, we conduct analysis on how to design incentive mechanism with...
Various types of sensors have been embedded in smartphones such that a mobile user can easily conduct some sensing tasks. The mobile users conducting the sensing task with their sensor- equipped smartphones have their own unique features, thus can be efficiently complementary to stationary sensors which are deployed at specific locations. In this paper, we consider a heterogenous sensor network composed...
Crowdsourcing systems, by using smart devices like smartphones and iPad, have been widely used in various domains, but are currently facing new challenges. On one hand, different tasks offer different amount of incentive budgets in multitask systems, thus those tasks pay more should be satisfied preferentially. On the other hand, even if there are not enough budget for a sensing task, the system should...
The explosive growth of mobile sensors and smartphones in recent years has contributed to the change of communication manner. The faster and more convenient way to communicate is advocated, which leading to the increasing attention to Mobile Social Networking. Meanwhile, the popularity of location-based services makes it possible and meaningful to associate with the Proximity-based Mobile Social Networks...
Incentive allocation is an important research issue in participatory sensing as it determines the willingness of participants in joining the sensing campaign. Existing incentive approaches either decide the payments without consulting the participants, or require burdensome negotiation procedures like bid-price auction. In this paper, we propose a novel incentive allocation mechanism, which encourages...
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...
Nowadays, as mobile smart terminals are becoming increasing widespread and multitudinous sensors are included, the applications with various new functions that run on mobile terminals are largely expanded. This paper proposes a Cross-Platform and Context-Awareness (CPCA) middleware intended for application developers, by which they can develop context-aware applications by providing the context reasoning...
Mobile sensors are a viable choice for providing monitoring service on a set of Points of Interest (PoIs) in a large sensing field. In some applications, each PoI should be covered periodically (sweep coverage), and the collected data should be delivered to the sink node timely (timely transmission), namely both the sensing and transmission delay constraints for each PoI should be satisfied, which...
The growing popularity of multimedia group communications requires evolved networking technologies to provide rich-media content to groups of users in the most effective way. 3GPP (3rd Generation Partnership Project) has specified MBMS (Multimedia Broadcast Multicast Service) to enable broadcasting and multicasting packet data in UMTS (Universal Mobile Telecommunication System) networks to large user...
The Wireless Sensor Networks (WSN) environments are increasingly becoming intelligent with the rapid boost in the capabilities of sensor nodes. The Sun Small Programmable Object Technology (SPOT) platform offers a high-end sensing device in terms of processing, memory and battery configurations compared to other existing in the community. Within the scope of this paper, a health care use case is derived...
Sensors can capture very sensitive and valuable information without human intervention and send it to remote location. However, capturing sensory data from a body sensor network (BSN) and sending it to social networks is a challenging task. This is because it requires a number of distributed networks to work together seamlessly. The task becomes more challenging when both the BSN and the social networks...
Sensors are now attached to a lot of mobile objects such as animals and vehicles to collect data. This forms intermittently connected mobile sensor network due to weak communication power and nodal mobility, in which conventional routing protocols in wireless sensor network don't work. In this paper, we propose a data harvesting scheme for intermittently connected mobile sensor network. This approach...
We analyze the ability of a stochastic coverage algorithm to achieve both accurate threat-based coverage and effective information capture. When mobile sensors are used to cover the region over time, the goal of threat-based coverage is to allocate the sensors' coverage time between the subregions in proportion to their threat levels. We show that, in contrast to prior results on mobile coverage for...
In this paper, meeting position aware routing (MPAR) is proposed for query-based mobile enabled wireless sensor network (mWSN). We consider mWSNs with dense sensor nodes deployed in the sensing field. A mobile sink (MS) moving through the sensing field with random speed queries a specific area or a point of interest for information from physical world. Queried data over a area is aggregated to a source...
Recent developments of information technologies are leading the advent of mobile device oriented context-aware applications, which means using context to realize some novel applications on mobile devices. The context-aware application needs a framework for context information management. In this paper, we propose a mobile device oriented framework for context information management to solve the problems...
In this paper we extend our previous work and consider two related problems: the first one proposes a method for the scheduling of static sensors in a network where it is assumed that an array of sensing devices is available to provide measurements on the state of a process governed by a partial differential equation. The second problem considers the guidance of a mobile sensor network used in a process...
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