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A framework of sensor-cloud integration opportunities and challenges

Published: 15 February 2009 Publication History

Abstract

In the past few years, wireless sensor networks (WSNs) have been gaining increasing attention because of their potential of enabling of novel and attractive solutions in areas such as industrial automation, environmental monitoring, transportation business, health-care etc. If we add this collection of sensor derived data to various Web-based social networks or virtual communities, blogs etc., we can have a remarkable transformation in our ability to "see" ourselves and our planet. Our primary goal is to facilitate connecting sensors, people and software objects to build community-centric sensing applications. However, the computational tools needed to launch this exploration may be more appropriately built from the data center "Cloud" computing model than the traditional HPC approaches. In this paper, we propose a framework to enable this exploration by integrating sensor networks to the emerging data center "cloud" model of computing. But there are many challenges to enable this framework. We propose a pub-sub based model which simplifies the integration of sensor networks with cloud based community-centric applications. Also there is a need for internetworking cloud providers in case of violation of service level agreement with users. We discussed these issues and proposed reasonable solutions.

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Gilbert Babin

I have mixed feelings about this paper. Indeed, Hassan, Song, and Huh offer a very good overview of the problem faced by practitioners and researchers when trying to integrate wireless sensor networks (WSNs) with the computing capabilities provided by cloud computing. They even propose a sound solution to the problems they identify. However, the poor quality of writing makes the paper difficult to understand at times. In addition, the authors use many abbreviations, some of which are not intuitive-for example, CLP for cloud provider-and others that are not even defined-for example, VO, which I finally discovered stands for virtual organization. Lastly, the experimental results are only analyzed using graphs, rather than more robust statistical methods. The authors state that they repeated "the experiments for multiple times." The following questions are left unanswered: How many times__?__ Were the results significantly different statistically__?__ Unfortunately, the disappointing presentation diminishes any interesting results. Online Computing Reviews Service

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cover image ACM Conferences
ICUIMC '09: Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication
February 2009
704 pages
ISBN:9781605584058
DOI:10.1145/1516241
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 15 February 2009

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Author Tags

  1. cloud computing
  2. dynamic collaboration
  3. event matching algorithm
  4. pub/sub
  5. sensor network

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