Article

An adaptive communication architecture for wireless sensor networks

Authors:

Fredrik Österlind,

Zhitao HeAuthors Info & Claims

SenSys '07: Proceedings of the 5th international conference on Embedded networked sensor systems

Pages 335 - 349

https://doi.org/10.1145/1322263.1322295

Published: 06 November 2007 Publication History

Abstract

As sensor networks move towards increasing heterogeneity, the number of link layers, MAC protocols, and underlying transportation mechanisms increases. System developers must adapt their applications and systems to accommodate a wide range of underlying protocols and mechanisms. However, existing communication architectures for sensor networks are not designed for this heterogeneity and therefore the system developer must redevelop their systems for each underlying communication protocol or mechanism. To remedy this situation, we present a communication architecture that adapts to a wide range of underlying communication mechanisms, from the MAC layer to the transport layer, without requiring any changes to applications or protocols. We show that the architecture is expressive enough to accommodate typical sensor network protocols. Measurements show that the increase in execution time over a non-adaptive architecture is small.

References

[1]

IEEE standard 802.15.4. IEEE Computer Society, October 2003.

[2]

S. Biswas and R. Morris. Opportunistic routing in multi-hop wireless networks. In Proceedings of the ACM SIGCOMM '05 Conference, Philadelphia, Pennsylvania, August 2005.

Digital Library

[3]

R. Braden, T. Faber, and M. Handley. From protocol stack to protocol heap: role-based architecture. SIGCOMM Comput. Commun. Rev., 33(1):17--22, 2003. ISSN: 0146--4833

Digital Library

[4]

M. Buettner, G. V. Yee, E. Anderson, and R. Han. X-mac: a short preamble mac protocol for duty-cycled wireless sensor networks. In SenSys '06: Proceedings of the 4th international conference on Embedded networked sensor systems, pages 307--320, Boulder, Colorado, USA, 2006. ISBN: 1-59593-343-3

Digital Library

[5]

K. K. Chang and D. Gay. Language support for interoperable messaging in sensor networks. In Proceedings of the 2005 workshop on Software and compilers for embedded systems, pages 1--9, Dallas, Texas, 2005. ISBN: 1-59593-207-0

Digital Library

[6]

J. I. Choi, J. W. Lee, M. Wachs, and P. Levis. Opening the sensornet black box. In Proceedings of the International Workshop on Wireless Sensornet Architecture (WWSNA), Massachusetts, USA, April 2007.

Digital Library

[7]

D. D. Clark, J. Wroclawski, K. R. Sollins, and R. Braden. Tussle in cyberspace: defining tomorrow's internet. IEEE/ACM Trans. Netw., 13(3):462--475, 2005. ISSN: 1063--6692

Digital Library

[8]

Arch Rock Corporation. A sensor network architecture for the ip enterprise. In Proceedings of the 6th international conference on Information processing in sensor networks, demo session, Cambridge, Massachusetts, USA, 2007.

Digital Library

[9]

J. Crowcroft, S. Hand, R. Mortier, T. Roscoe, and A. Warfield. Plutarch: an argument for network pluralism. In Proceedings of the ACM SIGCOMM workshop on Future directions in network architecture, Karlsruhe, Germany, 2003.

Digital Library

[10]

D. Culler, P. Dutta, C. T. Ee, R. Fonseca, J. Hui, P. Levis, and J. Zhao. Towards a Sensor Network Architecture: Lowering the Waistline. In Proceedings of HotOS 2005, 2005.

Digital Library

[11]

M. Degermark, M. Engan, B. Nordgren, and S. Pink. Low-loss TCP/IP header compression for wireless networks. ACM/Baltzer Journal on Wireless Networks, 3(5), 1997.

Digital Library

[12]

A. Dunkels. Full TCP/IP for 8-bit architectures. In Proceedings of The First International Conference on Mobile Systems, Applications, and Services (MOBISYS '03), May 2003.

Digital Library

[13]

A. Dunkels, B. Grönvall, and T. Voigt. Contiki -- a lightweight and flexible operating system for tiny networked sensors. In Proceedings of the First IEEE Workshop on Embedded Networked Sensors, Tampa, Florida, USA, November 2004.

Digital Library

[14]

A. Dunkels, T. Voigt, and J. Alonso. Making TCP/IP Viable for Wireless Sensor Networks. In First European Workshop on Wireless Sensor Networks (EWSN 2004), Berlin, Germany, January 2004.

[15]

A. Dunkels, F. Österlind, N. Tsiftes, and Z. He. Software-based online energy estimation for sensor nodes. In Proceedings of the Fourth IEEE Workshop on Embedded Networked Sensors (Emnets IV), Cork, Ireland, June 2007.

Digital Library

[16]

Cheng T. E., R. Fonseca, S. Kim, D. Moon, A. Tavakoli, D. Culler, S. Shenker, and I. Stoica. A modular network layer for sensornets. In Proceedings of OSDI 2006, Seattle, Washington, USA, November 2006.

Digital Library

[17]

R. Fonseca, O. Gnawali, K. Jamieson, and P. Levis. TEP 123: Collection Tree Protocol. Technical report. http://www.tinyos.net/tinyos-2.x/doc/

[18]

C. Frank and K. Römer. Algorithms for generic role assignment in wireless sensor networks. In SenSys '05: Proceedings of the 3rd international conference on Embedded networked sensor systems, pages 230--242, San Diego, California, USA, 2005.

Digital Library

[19]

O. Gnawali, K. Jang, J. Paek, M. Vieira, R. Govindan, B. Greenstein, A. Joki, D. Estrin, and E. Kohler. The tenet architecture for tiered sensor networks. In SenSys '06: Proceedings of the 4th international conference on Embedded networked sensor systems, 2006.

Digital Library

[20]

R. Guerraoui and L. Rodrigues. Introduction to Reliable Distributed Programming. Springer, 2006.

Digital Library

[21]

J. W. Hui and D. Culler. The dynamic behavior of a data dissemination protocol for network programming at scale. In Proc. SenSys'04, Baltimore, Maryland, USA, November 2004.

Digital Library

[22]

C. Intanagonwiwat, R. Govindan, and D. Estrin. Directed diffusion: a scalable and robust communication paradigm for sensor networks. In Mobile Computing and Networking, pages 56--67, 2000.

Digital Library

[23]

V. Jacobson. Compressing TCP/IP headers for low-speed serial links. RFC 1144, Internet Engineering Task Force, February 1990.

Digital Library

[24]

S. J. Leffler and M. J. Karels. Trailer encapsulations. RFC 893, Internet Engineering Task Force, 1984.

Digital Library

[25]

P. Levis, N. Patel, D. Culler, and S. Shenker. Trickle: A self-regulating algorithm for code propagation and maintenance in wireless sensor networks. In Proceedings of NSDI'04, March 2004.

Digital Library

[26]

L. Mottola and G. Picco. Programming wireless sensor networks with logical neighborhoods. In Proceedings of the first international conference on Integrated internet ad hoc and sensor networks (InterSense'06), page 8, Nice, France, May 2006.

Digital Library

[27]

G. Mulligan, N. Kushalnagar, and G. Montenegro. IPv6 over IEEE 802.15.4 BOF (6lowplan). Web page. Visited 2005-02-21. http://www.ietf.org/ietf/04nov/6lowpan.txt

[28]

C. Perkins, E. Belding-Royer, and S. Das. Ad hoc on-demand distance vector (aodv) routing. RFC 3561, Internet Engineering Task Force, 2003.

Digital Library

[29]

J. Polastre, J. Hill, and D. Culler. Versatile low power media access for wireless sensor networks. In SenSys '04: Proceedings of the 2nd international conference on Embedded networked sensor systems, pages 95--107, Baltimore, MD, USA, 2004. ISBN: 1-58113-879-2

Digital Library

[30]

J. Polastre, J. Hui, P. Levis, J. Zhao, D. Culler, S. Shenker, and I Stoica. A unifying link abstraction for wireless sensor networks. In SenSys, 2005.

Digital Library

[31]

J. Polastre, R. Szewczyk, and D. Culler. Telos: Enabling ultra-low power wireless research. In Proc. IPSN/SPOTS'05, Los Angeles, CA, USA, April 2005.

Digital Library

[32]

T. van Dam and K. Langendoen. An adaptive energy-efficient MAC protocol for wireless sensor networks. In Proceedings of the first international conference on Embedded networked sensor systems, pages 171--180. ACM Press, 2003. ISBN: 1-58113-707-9

Digital Library

[33]

A. Woo, T. Tong, and D. Culler. Taming the underlying challenges of reliable multihop routing in sensor networks. In SenSys '03: Proceedings of the 1st international conference on Embedded networked sensor systems, pages 14--27, Los Angeles, California, USA, 2003. ISBN: 1-58113-707-9

Digital Library

Cited By

Debadarshini JSaha S(2024)Divide-and-Conquer for Internet-of-Things: Discrete vs Continuous Groups2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)10.1109/COMSNETS59351.2024.10427391(700-704)Online publication date: 3-Jan-2024
https://doi.org/10.1109/COMSNETS59351.2024.10427391
Debadarshini JSaha S(2023)An IoT-Assisted Efficient Framework for Multi-Drone Conveyance SystemGLOBECOM 2023 - 2023 IEEE Global Communications Conference10.1109/GLOBECOM54140.2023.10437867(6426-6431)Online publication date: 4-Dec-2023
https://doi.org/10.1109/GLOBECOM54140.2023.10437867
Mahato PSaha SSarkar CShaghil M(2023)Consensus-based fast and energy-efficient multi-robot task allocationRobotics and Autonomous Systems10.1016/j.robot.2022.104270159:COnline publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1016/j.robot.2022.104270
Show More Cited By

Index Terms

An adaptive communication architecture for wireless sensor networks
1. Software and its engineering
  1. Software organization and properties
    1. Contextual software domains
      1. Operating systems

Recommendations

Power-efficient communication algorithms for wireless mobile sensor networks
PE-WASUN '04: Proceedings of the 1st ACM international workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks

One important issue in wireless sensor networks is how to gather sensed information in an energy efficient way since the energy is a scarce resource in a sensor node. Many protocols have been proposed for data-gathering between wireless sensor nodes. ...
Trusted architecture for farmland wireless sensor networks
CLOUDCOM '12: Proceedings of the 2012 IEEE 4th International Conference on Cloud Computing Technology and Science (CloudCom)

Wireless sensor networks (WSNS) is an important part of the perception layer for the Internet of Things (IoT). It is one of the basic tools of collecting data for the Internet of Things. Trusted architecture is key for trusted transmission in the ...
Sensor scheduling for p-percent coverage in wireless sensor networks

We study sensor scheduling problems of p-percent coverage in this paper and propose two scheduling algorithms to prolong network lifetime due to the fact that for some applications full coverage is not necessary and different subareas of the monitored ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

SenSys '07: Proceedings of the 5th international conference on Embedded networked sensor systems

November 2007

455 pages

ISBN:9781595937636

DOI:10.1145/1322263

General Chair:
Sanjay Jha
University of New South Wales, Australia

Copyright © 2007 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 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]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 November 2007

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

SenSys07

Sponsor:

SenSys07: The 5th ACM Conference on Embedded Network Sensor Systems

November 6 - 9, 2007

Sydney, Australia

Acceptance Rates

SenSys '07 Paper Acceptance Rate 25 of 149 submissions, 17%;

Overall Acceptance Rate 174 of 867 submissions, 20%

Upcoming Conference

SenSys '24

Sponsor:
sigbed
sigbed
sigbed
sigbed
sigbed

The 22nd ACM Conference on Embedded Networked Sensor Systems

November 4 - 7, 2024

Hangzhou , China

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

123
Total Citations
View Citations
1,535
Total Downloads

Downloads (Last 12 months)24
Downloads (Last 6 weeks)2

Reflects downloads up to 02 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

Debadarshini JSaha S(2024)Divide-and-Conquer for Internet-of-Things: Discrete vs Continuous Groups2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)10.1109/COMSNETS59351.2024.10427391(700-704)Online publication date: 3-Jan-2024
https://doi.org/10.1109/COMSNETS59351.2024.10427391
Debadarshini JSaha S(2023)An IoT-Assisted Efficient Framework for Multi-Drone Conveyance SystemGLOBECOM 2023 - 2023 IEEE Global Communications Conference10.1109/GLOBECOM54140.2023.10437867(6426-6431)Online publication date: 4-Dec-2023
https://doi.org/10.1109/GLOBECOM54140.2023.10437867
Mahato PSaha SSarkar CShaghil M(2023)Consensus-based fast and energy-efficient multi-robot task allocationRobotics and Autonomous Systems10.1016/j.robot.2022.104270159:COnline publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1016/j.robot.2022.104270
Schröder YWolf L(2022)InPhase: Phase-based Ranging and LocalizationACM Transactions on Sensor Networks10.1145/349454218:2(1-39)Online publication date: 13-Jan-2022
https://dl.acm.org/doi/10.1145/3494542
Cama-Pinto DHolgado-Terriza JDamas-Hermoso MGómez-Mula FCama-Pinto A(2021)Radio Wave Attenuation Measurement System Based on RSSI for Precision Agriculture: Application to Tomato GreenhousesInventions10.3390/inventions60400666:4(66)Online publication date: 12-Oct-2021
https://doi.org/10.3390/inventions6040066
Tsilomitrou OTzes A(2021)Mobile Data-Mule Optimal Path Planning for Wireless Sensor NetworksApplied Sciences10.3390/app1201024712:1(247)Online publication date: 27-Dec-2021
https://doi.org/10.3390/app12010247
Safronov VBrazauskas JDanish MVerma RLewis IMortier R(2021)Do we want the New Old Internet?Proceedings of the 20th ACM Workshop on Hot Topics in Networks10.1145/3484266.3487374(185-191)Online publication date: 10-Nov-2021
https://dl.acm.org/doi/10.1145/3484266.3487374
Gaur RPrakash S(2021)Performance and Parametric Analysis of IoT’s Motes with Different Network TopologiesInnovations in Electrical and Electronic Engineering10.1007/978-981-16-0749-3_61(787-805)Online publication date: 25-May-2021
https://doi.org/10.1007/978-981-16-0749-3_61
Schiller EEsati ENiya SStiller B(2020)Blockchain on MSP430 with IEEE 802.15.42020 IEEE 45th Conference on Local Computer Networks (LCN)10.1109/LCN48667.2020.9314805(345-348)Online publication date: 16-Nov-2020
https://doi.org/10.1109/LCN48667.2020.9314805
Wang SLi YMing CZhang Z(2020)Building Gateway Interconnected Heterogeneous ZigBee and WiFi Network Based on Software Defined RadioCommunications and Networking10.1007/978-3-030-41114-5_33(445-456)Online publication date: 27-Feb-2020
https://doi.org/10.1007/978-3-030-41114-5_33
Show More Cited By

View Options

Get Access

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.

Media

Figures

Other

Tables

View Table of Contents