Article

Mobiscopes for Human Spaces

Massachusetts Institute of Technology, Cambridge, Massachusetts, United States
IEEE Pervasive Computing (Impact Factor: 2.1). 05/2007; 6(2):20-29. DOI: 10.1109/MPRV.2007.38
Source: IEEE Xplore

ABSTRACT Mobiscopes extend the traditional sensor network model, introducing challenges in data management and integrity, privacy, and network system design. Researchers need an architecture and general methodology for designing future mobiscopes. A mobiscope is a federation of distributed mobile sensors into a taskable sensing system that achieves high-density sampling coverage over a wide area through mobility.

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    ABSTRACT: the universal character of cell phone and the modern encroachment in the cell phone technology and evolution of smart phones have created a new room for researchers in the domain of wireless sensor networks (WSN). It created a new paradigm of using the cell phone as sensor device and so called sensor enabled cell phone based data sharing. The proposed method of sensor data sharing uses the cell phone as the sensor device and motivate the public to use their cell phone as sensor device and contribute for data sharing to the knowledge bank and increase the availability of real time data in the knowledge database. The special categories of sensor embedded smart phones, which can sense multiple parameters like motion, temperature, pollution etc.. are developed for this purpose. Using these smart phones different users at different locations are invited and coordinated for data sharing. This is more or less the social commitment and responsibility of and individual towards his society. The collected data can be used for improving the well being of human beings.
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    ABSTRACT: Personal mobile devices have a strong impact in the daily life of their users, making part of their daily routines. Most of these devices are equipped with several sensors and interfaces that may be used to study human mobility and its interaction with the elements present in physical spaces. Our goal was to develop an application for Android smartphones that could be used to collect data from several of the devices' interfaces (Wi-Fi, GPS, Bluetooth and GSM), and to send that data to a server for later processing and analysis. In order to maximise the autonomy of the devices, energy resources must be used efficiently. This paper focus on a power-consumption saving solution for mobile phone-based sensing systems in the context of human motion analysis. Experiments were conducted with the objective of comparing power-consumption in different situations using our solution. Results have shown that, considering current power consumption patterns, carefully designed solutions for mobile phone-based sensing for observing human motion may enhance energy efficiency satisfactorily. In this particular domain, we have explored periodic sampling of the sensors and the suspension of the sampling process in the Android operating system whenever the device is not moving and we report such results in this paper.
    2014 7th IFIP Wireless and Mobile Networking Conference (WMNC); 05/2014
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    01/2014; CRC Press.

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