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Mobile crowdsensing is a new paradigm in which a group of mobile users exploit their carried smart devices to cooperatively perform a large-scale sensing job over urban environments. In this paper, we focus on the Deadline-sensitive User Recruitment (DUR) problem for probabilistically collaborative mobile crowdsensing, in which mobile users perform sensing tasks with certain probabilities, and multiple...
The Internet of Things (IoT) and particularly Machine-to-Machine (M2M) communications are considered as major enablers for future smart cities' initiatives. While offering a wide range of applications and services, supporting such devices constitutes, however, one of the most important challenges to be faced by Network Operators (NO). Indeed, the expected huge number of devices requesting to connect...
Mobile sensor network (MSN) has attracted attention because it can perform sensing at the place where is wide range or difficult to place directly sensor nodes. In MSN, nodes need to connect with the network for sending the sensing data to the base station. So far, an ideal movement method and a virtual rail method have been proposed as network construction methods. In this paper, we propose a hybrid...
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...
In Wireless Sensor Networks (WSNs), the nodes mobility model determines the network functionality which strongly influences the network lifetime, coverage and the energy consumption as well. So, the mobility strategy choice is very important in several critical application areas. The present paper proposes a mobility model that respects the network coverage while efficiently managing the spent energy...
The emergence of new connected devices has opened up new opportunities and allowed to imagine concepts that bring computer sciences and social sciences closer together. In particular, today's increasingly sophisticated miniature sensors allow to track and understand human activities and behavior with a great precision. Taking different approaches and perspectives, we use in this paper smartwatches...
Hypertensive disorders are the most common problems during pregnancy. They cause about 10% of maternal deaths. The world mortality rate has decreased but many women are still dying every day from pregnancy complications. Various technic resources are being used in an integrated manner in order to minimize even more the death of both mothers and babies. Mobile devices with Internet access have a great...
WMSNs are extensively used in various fields such as environmental monitoring, survellience, national security and health care. Wireless networks are composed of sensor nodes having capability of sensing environmental conditions, sink node and connected via internet to remote controller. Maximun coverage is one of the basic objective of WMSNs. So the current document presents review as well as comparision...
Microinteractions provide small details that may have a big impact on user experience of a (software) product. There are many examples of successful implementation of microinteractions in traditional software products, such as cut & paste functionality. However, the increasing popularity of mobile and wearable computing devices increases its application area and provides new opportunities to discover...
WiFi devices are now pervasive in our environment. Recent research has demonstrated that it is possible to sense the perturbations created by human motion in the WiFi spectrum to identify basic activities, gestures and even keystrokes. In this demo, we address the yet unsolved problem of human identification using WiFi spectrum sensing. We present WiFi-ID, a device-free system that uses off-the-shelf...
With the advent of powerful and inexpensive sensing technology the ability to study human behaviour and activity at large scale and for long periods is becoming a firm reality. Wearables and mobile devices further allow the continuous physical colocation with the users. This reality generates new challenges but also opens the door to potentially innovative ways of understanding our daily lives. In...
Sink mobility has attracted much research interest in recent years because it can improve network performance such as prolonging network lifetime. In this paper, we consider the problem of prolonging network lifetime by employing a mobile sink for data gathering subject to a specified tolerant delay. To achieve that, we proposed a novel heuristic algorithm for finding a trajectory of the sink that...
Crowdsourcing offers a cost-effective approach to distributed problem solving and data collection by soliciting contributions (solutions, ideas, data, etc.) from a large group of people. Recently, due to the burgeoning smartphone industry and the surging demand for sensing data, a new mobile computing and sensing paradigm called mobile crowdsensing has emerged and has created significant momentum...
This keynote presentation will highlight the unique research issues and challenges in the emerging field of smart living and cyber-physical-social systems, and also discuss novel solutions to address some of these challenges. The proposed solutions will be based on a rich set of theoretical and practical design principles, such as situational-aware data collection and fusion algorithms, uncertainty...
In this paper, we have proposed an efficient cluster based fault detection and recovery in MWSN. If the Cluster head (CH) turns to be a selfish or malicious node, then the system will fail to detect the fault and the subsequent recovery process. Hence identifying selfish or misbehaving CH is essential. At the same time, identifying faulty data from sensors is another important issue in data gathering...
Wireless communications are currently undergoing very rapid development, and as a result, the demand for wireless spectrum has been growing dramatically. In this regard, future wireless solutions have to meet multiple needs in terms of spectrum efficiency (SE). Both 5G, the next generation of mobile networks, and Cognitive Radio (CR) came as promising new technologies dealing with those requirements...
The proliferation of RF networks coupled with the diverse and growing set of mobile devices, opened the doors for a new class of context awareness through contact-free ambient sensing. Since our initial challenges paper in 2007, the field of device-free passive sensing has witnessed an exponential growth; covering areas such as intrusion detection, mobile healthcare, whole-home gesture recognition,...
Mobile Sinks have done a good job aiding transfer of Data across a group of static networks in recent research endeavours. A major problem is the design of paradigms for the mobility of the Collector Node (Mobile Sink) for varying applications of WSNs. Most existing methods either generate mobile sink routes in order to merely reduce the energy expenditure in the networks. In this paper, we design...
Network lifetime and energy consumption are major issues in wireless sensor networks while protection of the primary user is the most important activity in a cognitive radio network that necessitates the cognitive radios to detect the primary user signal promptly and accurately. We propose a network architecture that increases lifetime of the network by efficiently consuming energy and guarantees...
Target traversing is an important research topic in wireless sensor networks. Most works in this area consider the coverage issues of the target's moving paths. The minimal exposure path problem is to find a path among sensors so that the target's total exposure to the sensors is minimized. Most existing traversal algorithms ensure the target to stay as far as possible from static sensors. In this...
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