Crosslayer design protocol using geographical information in wireless sensor networks

Myung June Youn, Jaiyong Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Many routing protocols for wireless sensor networks based on location information have been proposed such as GPSR, LAR, IGF, etc. When these routing protocols are used with existing MAC protocols, however, the sleep and wake-up scheduling of many MAC protocols degrades the routing protocol performance because of the long latency for periodic scheduling and synchronization overhead. In this paper, a cross layered routing and MAC protocol, CBT(Cell Back-off Time) protocol, has been proposed for the enhancement of successful routing in the Wireless Sensor Network environment considering the mobility of sensor nodes. Analysis and Simulation shows that CBT shows good performance when network density is high and nodes have mobility.

Original languageEnglish
Title of host publicationMobile Ad-hoc and Sensor Networks - Third International Conference, MSN 2007, Proceedings
Pages143-152
Number of pages10
Volume4864 LNCS
Publication statusPublished - 2007 Dec 1
Event3rd International Conference on Mobile Ad-hoc and Sensor Networks, MSN 2007 - Beijing, China
Duration: 2007 Dec 122007 Dec 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4864 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Conference on Mobile Ad-hoc and Sensor Networks, MSN 2007
CountryChina
CityBeijing
Period07/12/1207/12/14

Fingerprint

Cross-layer Design
Routing Protocol
MAC Protocol
Wireless Sensor Networks
Wireless sensor networks
Routing protocols
Network protocols
Scheduling
Sleep
Cell
Network Performance
Wake
Vertex of a graph
Network performance
Sensor nodes
Latency
Synchronization
Routing
Enhancement
Sensor

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Youn, M. J., & Lee, J. (2007). Crosslayer design protocol using geographical information in wireless sensor networks. In Mobile Ad-hoc and Sensor Networks - Third International Conference, MSN 2007, Proceedings (Vol. 4864 LNCS, pp. 143-152). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4864 LNCS).
Youn, Myung June ; Lee, Jaiyong. / Crosslayer design protocol using geographical information in wireless sensor networks. Mobile Ad-hoc and Sensor Networks - Third International Conference, MSN 2007, Proceedings. Vol. 4864 LNCS 2007. pp. 143-152 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Youn, MJ & Lee, J 2007, Crosslayer design protocol using geographical information in wireless sensor networks. in Mobile Ad-hoc and Sensor Networks - Third International Conference, MSN 2007, Proceedings. vol. 4864 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4864 LNCS, pp. 143-152, 3rd International Conference on Mobile Ad-hoc and Sensor Networks, MSN 2007, Beijing, China, 07/12/12.

Crosslayer design protocol using geographical information in wireless sensor networks. / Youn, Myung June; Lee, Jaiyong.

Mobile Ad-hoc and Sensor Networks - Third International Conference, MSN 2007, Proceedings. Vol. 4864 LNCS 2007. p. 143-152 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4864 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Youn MJ, Lee J. Crosslayer design protocol using geographical information in wireless sensor networks. In Mobile Ad-hoc and Sensor Networks - Third International Conference, MSN 2007, Proceedings. Vol. 4864 LNCS. 2007. p. 143-152. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).