More Web Proxy on the site http://driver.im/

research-article

Ravel: Programming IoT Applications as Distributed Models, Views, and Controllers

Authors:

Laurynas Riliskis,

Philip LevisAuthors Info & Claims

IoT-App '15: Proceedings of the 2015 International Workshop on Internet of Things towards Applications

Pages 1 - 6

https://doi.org/10.1145/2820975.2820977

Published: 01 November 2015 Publication History

Abstract

The embedded sensor networks are a promising technology to improve our life with home and industrial automation, health monitoring, and sensing and actuation in agriculture. Fitness trackers, thermostats, door locks are just a few examples of Internet of Things that have already become part of our everyday life. Despite advances in sensors, microcontrollers, signal processing, networking and programming languages, developing an Internet of Things application is a laborious task. Many of these complex distributed systems share a 3-tier architecture consisting of embedded nodes, gateways that connect an embedded network to the wider Internet and data services in servers or the cloud. Yet the IoT applications are developed for each tier separately. Consequently, the developer needs to amalgamate these distinct applications together. This paper proposes a novel approach for programming applications across 3-tiers using a distributed extension of the Model-View-Controller architecture. We add new primitive: a space - that contains properties and implementation of a particular tier. Writing applications in this architecture affords numerous advantages: automatic model synchronization, data transport, and energy efficiency.

References

[1]

A. Awan, S. Jagannathan, and A. Grama. Macroprogramming heterogeneous sensor networks using cosmos. In Proceedings of the 2Nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007, EuroSys '07, pages 159--172, New York, NY, USA, 2007. ACM.

Digital Library

[2]

P. Bonnet, J. Gehrke, and P. Seshadri. Towards sensor database systems. In K.-L. Tan, M. Franklin, and J.-S. Lui, editors, Mobile Data Management, volume 1987 of Lecture Notes in Computer Science, pages 3--14. Springer Berlin Heidelberg, 2001.

Digital Library

[3]

A. Boulis, C.-C. Han, and M. B. Srivastava. Design and implementation of a framework for efficient and programmable sensor networks. In Proceedings of the 1st International Conference on Mobile Systems, Applications and Services, MobiSys '03, pages 187--200, New York, NY, USA, 2003. ACM.

Digital Library

[4]

A. Dunkels, B. Gronvall, and T. Voigt. Contiki-a lightweight and flexible operating system for tiny networked sensors. In Local Computer Networks, 2004. 29th Annual IEEE International Conference on, pages 455--462. IEEE, 2004.

Digital Library

[5]

A. Dunkels, O. Schmidt, T. Voigt, and M. Ali. Protothreads: simplifying event-driven programming of memory-constrained embedded systems. In Proceedings of the 4th international conference on Embedded networked sensor systems, pages 29--42. Acm, 2006.

Digital Library

[6]

M. Etemadi, W. McGrath, B. Hartmann, and S. Roy. Fabryq: Using phones as smart proxies to control wearable devices from the web. 2014.

[7]

B. Greenstein, E. Kohler, and D. Estrin. A sensor network application construction kit (snack). In Proceedings of the 2Nd International Conference on Embedded Networked Sensor Systems, SenSys '04, pages 69--80, New York, NY, USA, 2004. ACM.

Digital Library

[8]

R. Gummadi, O. Gnawali, and R. Govindan. Macro-programming wireless sensor networks using kairos. In V. Prasanna, S. Iyengar, P. Spirakis, and M. Welsh, editors, Distributed Computing in Sensor Systems, volume 3560 of Lecture Notes in Computer Science, pages 126--140. Springer Berlin Heidelberg, 2005.

Digital Library

[9]

B. Hartmann, L. Abdulla, M. Mittal, and S. R. Klemmer. Authoring sensor-based interactions by demonstration with direct manipulation and pattern recognition. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI '07, pages 145--154, New York, NY, USA, 2007. ACM.

Digital Library

[10]

S. Kang, Y. Lee, S. Ihm, S. Park, S.-M. Kim, and J. Song. Design and implementation of a middleware for development and provision of stream-based services. In Computer Software and Applications Conference (COMPSAC), 2010 IEEE 34th Annual, pages 92--100. IEEE, 2010.

Digital Library

[11]

K. Klues, C.-J. M. Liang, J. Paek, R. Musaloiu-Elefteri, P. Levis, A. Terzis, and R. Govindan. Tosthreads: thread-safe and non-invasive preemption in tinyos. In SenSys, volume 9, pages 127--140, 2009.

Digital Library

[12]

B. Lee, C. Song, T. Kim, and W. Lee. Type casting verification: Stopping an emerging attack vector. In 24th USENIX Security Symposium (USENIX Security 15), pages 81--96, Washington, D.C., Aug. 2015. USENIX Association.

Digital Library

[13]

P. Levis, S. Madden, J. Polastre, R. Szewczyk, K. Whitehouse, A. Woo, D. Gay, J. Hill, M. Welsh, E. Brewer, et al. Tinyos: An operating system for sensor networks. In Ambient intelligence, pages 115--148. Springer, 2005.

[14]

L. Luo, T. F. Abdelzaher, T. He, and J. A. Stankovic. Envirosuite: An environmentally immersive programming framework for sensor networks. ACM Trans. Embed. Comput. Syst., 5(3):543--576, Aug. 2006.

Digital Library

[15]

S. Madden, M. J. Franklin, J. M. Hellerstein, and W. Hong. Tag: A tiny aggregation service for ad-hoc sensor networks. SIGOPS Oper. Syst. Rev., 36(SI):131--146, Dec. 2002.

Digital Library

[16]

S. R. Madden, M. J. Franklin, J. M. Hellerstein, and W. Hong. Tinydb: an acquisitional query processing system for sensor networks. ACM Transactions on database systems (TODS), 30(1):122--173, 2005.

Digital Library

[17]

L. Mottola and G. P. Picco. Programming wireless sensor networks: Fundamental concepts and state of the art. ACM Comput. Surv., 43(3):19:1--19:51, Apr. 2011.

Digital Library

[18]

R. Newton and M. Welsh. Region streams: Functional macroprogramming for sensor networks. In Proceeedings of the 1st International Workshop on Data Management for Sensor Networks: In Conjunction with VLDB 2004, DMSN '04, pages 78--87, New York, NY, USA, 2004. ACM.

Digital Library

[19]

A. Pathak and M. K. Gowda. Srijan: A graphical toolkit for sensor network macroprogramming. In Proceedings of the the 7th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on The Foundations of Software Engineering, ESEC/FSE '09, pages 301--302, New York, NY, USA, 2009. ACM.

Digital Library

[20]

A. Pathak, L. Mottola, A. Bakshi, V. Prasanna, and G. Picco. Expressing sensor network interaction patterns using data-driven macroprogramming. In Pervasive Computing and Communications Workshops, 2007. PerCom Workshops '07. Fifth Annual IEEE International Conference on, pages 255--260, March 2007.

Digital Library

[21]

D. Pfisterer, K. Romer, D. Bimschas, O. Kleine, R. Mietz, C. Truong, H. Hasemann, A. Kröller, M. Pagel, M. Hauswirth, M. Karnstedt, M. Leggieri, A. Passant, and R. Richardson. Spitfire: toward a semantic web of things. Communications Magazine, IEEE, 49(11):40--48, November 2011.

[22]

N. Reijers, K.-J. Lin, Y.-C. Wang, C.-S. Shih, and J. Y. Hsu. Design of an intelligent middleware for flexible sensor configuration in m2m systems. In SENSORNETS, pages 41--46, 2013.

[23]

N. Reijers, Y.-C. Wang, C.-S. Shih, J. Hsu, and K.-J. Lin. Building intelligent middleware for large scale cps systems. In Service-Oriented Computing and Applications (SOCA), 2011 IEEE International Conference on, pages 1--4, Dec 2011.

Digital Library

[24]

S. Tranquillini, P. Spieß, F. Daniel, S. Karnouskos, F. Casati, N. Oertel, L. Mottola, F. Oppermann, G. Picco, K. Römer, and T. Voigt. Process-based design and integration of wireless sensor network applications. In A. Barros, A. Gal, and E. Kindler, editors, Business Process Management, volume 7481 of Lecture Notes in Computer Science, pages 134--149. Springer Berlin Heidelberg, 2012.

Digital Library

[25]

Y.-H. Tu, Y.-C. Li, T.-C. Chien, and P. Chou. Ecocast: Interactive, object-oriented macroprogramming for networks of ultra-compact wireless sensor nodes. In Information Processing in Sensor Networks (IPSN), 2011 10th International Conference on, pages 366--377, April 2011.

[26]

Y. Yao and J. Gehrke. The cougar approach to in-network query processing in sensor networks. SIGMOD Rec., 31(3):9--18, Sept. 2002.

Digital Library

Cited By

Büch DEsch M(2023)CiTe: A Testbed for Smart City Applications and Architectures2023 IEEE International Conference on Omni-layer Intelligent Systems (COINS)10.1109/COINS57856.2023.10189229(1-6)Online publication date: 23-Jul-2023
https://doi.org/10.1109/COINS57856.2023.10189229
Balouek-Thomert DParashar M(2021)Platforms for Edge Computing and Internet of Things applications: A surveyProceedings of the 2021 Thirteenth International Conference on Contemporary Computing10.1145/3474124.3474143(140-149)Online publication date: 5-Aug-2021
https://dl.acm.org/doi/10.1145/3474124.3474143
Ton LLe LNguyen M(2021)Micraspis: A Computer-Aided Proposal Toward Programming and Architecting Smart IoT WearablesIEEE Access10.1109/ACCESS.2021.30967499(105393-105408)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3096749
Show More Cited By

Index Terms

Ravel: Programming IoT Applications as Distributed Models, Views, and Controllers
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
2. Software and its engineering
  1. Software creation and management
    1. Software development techniques
  2. Software organization and properties
    1. Software system structures
      1. Distributed systems organizing principles

Recommendations

Reaching Trusted Byzantine Agreement in a Cluster-Based Wireless Sensor Network

A wireless sensor network (WSN) consists of spatially distributed autonomous devices which use sensor nodes to monitor physical or environmental conditions cooperatively. Currently, WSNs are expected to be integrated into the internet of things (IoT), ...
The optimal generalized Byzantine Agreement in Cluster-based Wireless Sensor Networks

A Wireless Sensor Network (WSN) is a wireless network consisting of spatially distributed autonomous devices using sensor nodes in a wide range of applications in various domains. In the future, WSNs are expected to be integrated into the ''Internet of ...
Lifetime improvement method using mobile sink for IoT service
PE-WASUN '13: Proceedings of the 10th ACM symposium on Performance evaluation of wireless ad hoc, sensor, & ubiquitous networks

In this paper, we describe a lifetime improvement method using mobile sink node for Internet of Things (IoT) device and discuss the major technologies involved in IoT. Additionally, we discuss the potential scope of IoT and the major technologies ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

IoT-App '15: Proceedings of the 2015 International Workshop on Internet of Things towards Applications

November 2015

42 pages

ISBN:9781450338387

DOI:10.1145/2820975

General Chairs:
Chenren Xu
Peking University, China
,
Pei Zhang
Carnegie Mellon University, USA
,
Stephan Sigg
Aalto University, Finland

Copyright © 2015 ACM.

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 the author(s) 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].

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 November 2015

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

National Science Foundation
Wallenberg Foundation
Intel Corporation

Conference

SenSys '15

Sponsor:

SenSys '15: The 13th ACM Conference on Embedded Network Sensor Systems

November 1, 2015

Seoul, South Korea

Acceptance Rates

IoT-App '15 Paper Acceptance Rate 6 of 7 submissions, 86%;

Overall Acceptance Rate 6 of 7 submissions, 86%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

16
Total Citations
View Citations
635
Total Downloads

Downloads (Last 12 months)5
Downloads (Last 6 weeks)2

Reflects downloads up to 02 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Büch DEsch M(2023)CiTe: A Testbed for Smart City Applications and Architectures2023 IEEE International Conference on Omni-layer Intelligent Systems (COINS)10.1109/COINS57856.2023.10189229(1-6)Online publication date: 23-Jul-2023
https://doi.org/10.1109/COINS57856.2023.10189229
Balouek-Thomert DParashar M(2021)Platforms for Edge Computing and Internet of Things applications: A surveyProceedings of the 2021 Thirteenth International Conference on Contemporary Computing10.1145/3474124.3474143(140-149)Online publication date: 5-Aug-2021
https://dl.acm.org/doi/10.1145/3474124.3474143
Ton LLe LNguyen M(2021)Micraspis: A Computer-Aided Proposal Toward Programming and Architecting Smart IoT WearablesIEEE Access10.1109/ACCESS.2021.30967499(105393-105408)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3096749
Lyu MBiennier FGhodous P(2021)Integration of ontologies to support Control as a Service in an Industry 4.0 contextService Oriented Computing and Applications10.1007/s11761-021-00317-1Online publication date: 11-Mar-2021
https://doi.org/10.1007/s11761-021-00317-1
Chen WYang QJiang ZXing JZhao QZhou QHan D(2020)TouchScientific Programming10.1155/2020/88875882020Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.1155/2020/8887588
Saputra YHua JWendt NJulien CRoman GTilevich E(2019)WarbleProceedings of the 6th International Conference on Mobile Software Engineering and Systems10.5555/3340730.3340755(128-139)Online publication date: 25-May-2019
https://dl.acm.org/doi/10.5555/3340730.3340755
Tovar Soto JSolórzano Suárez JBadillo Rodríguez ARodríguez Cainaba G(2019)Internet de las cosas aplicado a la agricultura: estado actualLámpsakos10.21501/21454086.3253(86-105)Online publication date: 26-Nov-2019
https://doi.org/10.21501/21454086.3253
Saputra YHua JWendt NJulien CRoman G(2019)WARBLE: Programming Abstractions for Personalizing Interactions in the Internet of Things2019 IEEE/ACM 6th International Conference on Mobile Software Engineering and Systems (MOBILESoft)10.1109/MOBILESoft.2019.00026(128-139)Online publication date: May-2019
https://doi.org/10.1109/MOBILESoft.2019.00026
Lyu MBiennier FGhodous P(2019)Integration of Ontologies to Support Control as a Service in an Industry 4.0 Context2019 International Conference on High Performance Computing & Simulation (HPCS)10.1109/HPCS48598.2019.9188197(810-817)Online publication date: Jul-2019
https://doi.org/10.1109/HPCS48598.2019.9188197
Giang NLea RLeung V(2019)Developing applications in large scale, dynamic fog computing: A case studySoftware: Practice and Experience10.1002/spe.269550:5(519-532)Online publication date: 21-Apr-2019
https://doi.org/10.1002/spe.2695
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten