AI-LMAC: An Adaptive, Information-centric and Lightweight MAC Protocol for Wireless Sensor Networks

Supriyo Chatterjea; L.F.W. van Hoesel; Paul J.M. Havinga

doi:10.1109/ISSNIP.2004.1417492

AI-LMAC: An Adaptive, Information-centric and Lightweight MAC Protocol for Wireless Sensor Networks

Supriyo Chatterjea
, L.F.W. van Hoesel
, Paul J.M. Havinga

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

58 Citations (Scopus)

399 Downloads (Pure)

Abstract

In this paper we present a novel TDMA-based medium access control (MAC) protocol for wireless sensor networks. Unlike conventional MAC protocols which function independently of the application, we introduce an Adaptive, Information-centric and Lightweight MAC(AI-LMAC) protocol that adapts its operation depending on the requirements of the application. We also present a completely localised data management framework that helps capture information about traf��?c patterns in the network. This information is subsequently used by AI-LMAC to modify its operation accordingly. The data management framework can additionally be used for ef��?cient query dissemination and query optimisation. We present preliminary results showing how the MAC protocol ef��?ciently manages the issues of fairness and latency.

Original language	English
Title of host publication	ISSNIP 2004
Subtitle of host publication	proceedings of the 2004 Intelligent Sensors, Sensor Networks & Information Processing Conference
Place of Publication	Los Alamitos
Publisher	IEEE
Pages	381-388
Number of pages	8
ISBN (Print)	0-7803-8894-1
DOIs	https://doi.org/10.1109/ISSNIP.2004.1417492
Publication status	Published - Dec 2004
Event	1st International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2004 - Melbourne, Australia Duration: 14 Dec 2004 → 17 Dec 2004 Conference number: 1

Conference

Conference	1st International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2004
Abbreviated title	ISSNIP
Country/Territory	Australia
City	Melbourne
Period	14/12/04 → 17/12/04

Keywords

EWI-15031
METIS-221717
CAES-PS: Pervasive Systems
IR-49409

Access to Document

10.1109/ISSNIP.2004.1417492

Cite this

@inproceedings{bafd22690f3f45679a0686bd43506442,

title = "AI-LMAC: An Adaptive, Information-centric and Lightweight MAC Protocol for Wireless Sensor Networks",

abstract = "In this paper we present a novel TDMA-based medium access control (MAC) protocol for wireless sensor networks. Unlike conventional MAC protocols which function independently of the application, we introduce an Adaptive, Information-centric and Lightweight MAC(AI-LMAC) protocol that adapts its operation depending on the requirements of the application. We also present a completely localised data management framework that helps capture information about traf��?c patterns in the network. This information is subsequently used by AI-LMAC to modify its operation accordingly. The data management framework can additionally be used for ef��?cient query dissemination and query optimisation. We present preliminary results showing how the MAC protocol ef��?ciently manages the issues of fairness and latency.",

keywords = "EWI-15031, METIS-221717, CAES-PS: Pervasive Systems, IR-49409",

author = "Supriyo Chatterjea and \{van Hoesel\}, L.F.W. and Havinga, \{Paul J.M.\}",

year = "2004",

month = dec,

doi = "10.1109/ISSNIP.2004.1417492",

language = "English",

isbn = "0-7803-8894-1",

pages = "381--388",

booktitle = "ISSNIP 2004",

publisher = "IEEE",

address = "United States",

note = "1st International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2004, ISSNIP ; Conference date: 14-12-2004 Through 17-12-2004",

}

Chatterjea, S, van Hoesel, LFW & Havinga, PJM 2004, AI-LMAC: An Adaptive, Information-centric and Lightweight MAC Protocol for Wireless Sensor Networks. in ISSNIP 2004: proceedings of the 2004 Intelligent Sensors, Sensor Networks & Information Processing Conference. IEEE, Los Alamitos, pp. 381-388, 1st International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2004, Melbourne, Australia, 14/12/04. https://doi.org/10.1109/ISSNIP.2004.1417492

AI-LMAC: An Adaptive, Information-centric and Lightweight MAC Protocol for Wireless Sensor Networks. / Chatterjea, Supriyo; van Hoesel, L.F.W.; Havinga, Paul J.M.
ISSNIP 2004: proceedings of the 2004 Intelligent Sensors, Sensor Networks & Information Processing Conference. Los Alamitos: IEEE, 2004. p. 381-388.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - AI-LMAC: An Adaptive, Information-centric and Lightweight MAC Protocol for Wireless Sensor Networks

AU - Chatterjea, Supriyo

AU - van Hoesel, L.F.W.

AU - Havinga, Paul J.M.

N1 - Conference code: 1

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N2 - In this paper we present a novel TDMA-based medium access control (MAC) protocol for wireless sensor networks. Unlike conventional MAC protocols which function independently of the application, we introduce an Adaptive, Information-centric and Lightweight MAC(AI-LMAC) protocol that adapts its operation depending on the requirements of the application. We also present a completely localised data management framework that helps capture information about traf��?c patterns in the network. This information is subsequently used by AI-LMAC to modify its operation accordingly. The data management framework can additionally be used for ef��?cient query dissemination and query optimisation. We present preliminary results showing how the MAC protocol ef��?ciently manages the issues of fairness and latency.

AB - In this paper we present a novel TDMA-based medium access control (MAC) protocol for wireless sensor networks. Unlike conventional MAC protocols which function independently of the application, we introduce an Adaptive, Information-centric and Lightweight MAC(AI-LMAC) protocol that adapts its operation depending on the requirements of the application. We also present a completely localised data management framework that helps capture information about traf��?c patterns in the network. This information is subsequently used by AI-LMAC to modify its operation accordingly. The data management framework can additionally be used for ef��?cient query dissemination and query optimisation. We present preliminary results showing how the MAC protocol ef��?ciently manages the issues of fairness and latency.

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KW - METIS-221717

KW - CAES-PS: Pervasive Systems

KW - IR-49409

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DO - 10.1109/ISSNIP.2004.1417492

M3 - Conference contribution

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BT - ISSNIP 2004

PB - IEEE

CY - Los Alamitos

T2 - 1st International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2004

Y2 - 14 December 2004 through 17 December 2004

ER -

AI-LMAC: An Adaptive, Information-centric and Lightweight MAC Protocol for Wireless Sensor Networks

Abstract

Conference

Keywords

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