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In this era of proliferating growth of technical advancements, vehicles have become an integral part of human life. Every vehicle has its own emission of polluting gases, but the problem occurs when the vehicles do not get serviced regularly and the emission is beyond the standardized value. [1]The primary reason for this breach of emission level being the incomplete combustion of fuel supplied to...
Modern embedded systems generate a large volume of data that require a highly scalable and available framework that enables computing, storage, and data analysis. Many cloud providers offer unlimited storage as well as a flexible processing infrastructure, allowing for executing a large number of tasks with high performance. This paper presents a framework for extending the local resources of embedded...
A wide range of crowdsensing smart city applications utilize cloud computing to send, store and publish data. The amount of data sent to the cloud is relatively large and this introduces bandwidth, network and storage challenges. In this paper, we offer a smart city architecture that includes a data reduction service located in the proximity of the crowd. In this data reduction service, we propose...
The Internet of Things comprises smart devices - objects that don't just sense and communicate, but also possess varying processing capabilities. The diversity of IoT infrastructure in terms of resources they expose poses new challenges for applications delivery. On one side, we have resource constrained devices in terms of memory, storage and processing capabilities such as mobile and sensor-gateway...
Distributed Denial of Service (DDoS) attacks employing reflected UDP amplification are regularly used to disrupt networks and systems. The amplification allows one rented server to generate significant volumes of data, while the reflection hides the identity of the attacker. Consequently this is an attractive, low risk, strategy for criminals bent on vandalism and extortion. To measure the uptake...
We propose and analyze a 3-tier cloud-cloudlet-device hierarchical trust management protocol called IoT-HiTrust for large-scale IoT systems. Our mobile cloud hierarchical trust management protocol allows an IoT device to report its service experiences and query the trustworthiness of another IoT device for service composition and selection following a simple localized report-and-query paradigm. We...
Physical telerehabilitation services over the Internet allow physiotherapists to engage in remote consultation with patients at their homes, improving the quality of care and reducing costs. Traditional visual approaches, such as webcams and videophones, are limited in terms of precision of assessment and support for assistance with exercises. In this paper, we present a Physical Telerehabilitation...
The record-and-replay approach for software testing is important and valuable for developers in designing mobile applications. However, the existing solutions for recording and replaying Android applications are far from perfect. When considering the richness of mobile phones' input capabilities including touch screen, sensors, GPS, etc., existing approaches either fall short of covering all these...
Smart city is the future city that benefits from the emerging technologies to manage the complexity, and improve the quality of life in many aspects including public safety, healthcare, transportation, or energy. Public safety is an important issue, and in urban environment such as smart city, it is necessary to conduct much research to study the surveillance systems for public safety. It is important...
ith the wide deployment of various kinds of sensors in fixed infrastructures and in mobile devices, technologies and applications of crowd-sensing has drawn attentions in the fields of mobile computing. This paper studies the design of frameworks for crowd-sensing process in a distributed environment. We discuss the realization of the compatibilities of devices and services, as well as the algorithms...
In this paper, we introduce a road surface conditionunderstanding and sharing system. Traffic accidents and obstructionsdue to bad weather conditions and poor road conditions areserious social problems. It is necessary for drivers to understandweather and road conditions in advance to avoid traffic accidentsand obstructions and it is necessary to alert drivers to weatherand road conditions in order...
This paper discusses the design and development efforts made to collect data using an opportunistic crowdsensing mobile application. Relevant issues are underlined, and solutions proposed within the CHIST-ERA Macaco project for the specifics of collecting fine-grained content and context data are highlighted. Global statistics on the data gathered for over a year of collection show its quality: Macaco...
We propose to demonstrate and obtain community feedback on the RadioHound system, a custom spectrum sensing network capable of tuning from 25 MHz to 6 GHz, which covers nearly all widely-deployed wireless activity. We describe the system hardware and network infrastructure in detail with a view towards driving the cost, size, and power usage of the sensors as low as possible.
Several new smartphones are released every year. Many people upgrade to new phones, and their old phones are not put to any further use. In this paper, we explore the feasibility of using such retired smartphones and their on-board sensors to build a home security system. We observe that door-related events such as opening and closing have unique vibration signatures when compared to many types of...
Infrastructure monitoring applications currently lack a cost-effective and reliable solution for supporting the last communication hop for low-power devices. The use of cellular infrastructure requires contracts and complex radios that are often too power hungry and cost prohibitive for sensing applications that require just a few bits of data each day. New low-power, sub-GHz, long-range radios are...
Mobile phones are equipped with a rich set of sensors which are useful in deploying various sensing activities. We focus on participatory sensing in which every participant carrying smartphone senses its environment and shares it with server. Most of the applications require location information to perform sensing activity. But, GPS drains considerable amount of energy if used for localization. So,...
Mobile crowd-sourcing can become as a strategy to perform time-sensitive urban tasks (such as municipal monitoring and last mile logistics) by effectively coordinating smartphone users. The success of the mobile crowd-sourcing platform depends mainly on its effectiveness in engaging crowd-workers, and recent studies have shown that compared to the pull-based approach, which relies on crowd-workers...
Preserving user privacy is crucial for the wide adoption of crowdsensing and participatory sensing applications that rely on personal devices. Currently, each application comes with its own hardwired and possibly undocumented privacy support (if any), while the horizontal protection mechanisms provided by operating and runtime systems operate at a low level that can significantly harm application...
Current smart thermostats aim to increase the efficiency of heating and cooling systems by adjusting the temperature whenever the conditioned zone becomes empty. However, targeting energy savings, these systems often fail to achieve a comfortable thermal environment for the inhabitants. We propose to increase thermal comfort by automatically monitoring the inhabitants' satisfaction with the thermal...
Location-Based Services (LBS) is used to identify the current location of the user and the user is able to search the point of interest such as hotels, parks which is located near to him. Many of the systems are still using GPS to search any location which does not have privacy. The systems which are proposed earlier have some drawbacks on privacy. The proposed system provides privacy by using Dynamic...
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