Efficient GTS allocation algorithm for IEEE 802.15.4

Ji Youngmin, Park Woojin, Kim Sungjun, Sun-Shin An

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

3 Citations (Scopus)

Abstract

Recently issued standard IEEE 802.15.4 is a novel standard to achieve some critical features of wireless sensor networks. In this paper, we propose the algorithm to allocate GTSs according to the packet arrival rate from end devices and the number of devices in beacon enabled mode of IEEE 802.15.4 star topology networks. From simulation results, we show that our proposed algorithm enhances throughput comparing with the original IEEE 802.15.4 that uses only CAP duration for transmission1.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages869-872
Number of pages4
Volume4490 LNCS
EditionPART 4
Publication statusPublished - 2007 Dec 1
Event7th International Conference on Computational Science, ICCS 2007 - Beijing, China
Duration: 2007 May 272007 May 30

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 4
Volume4490 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other7th International Conference on Computational Science, ICCS 2007
CountryChina
CityBeijing
Period07/5/2707/5/30

Fingerprint

IEEE 802.15.4
Equipment and Supplies
Stars
Wireless sensor networks
Throughput
Topology
Network Topology
Wireless Sensor Networks
Star
Simulation
Standards

Keywords

  • GTS
  • IEEE 802.15.4
  • Wireless sensor networks
  • Zigbee

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Youngmin, J., Woojin, P., Sungjun, K., & An, S-S. (2007). Efficient GTS allocation algorithm for IEEE 802.15.4. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 4 ed., Vol. 4490 LNCS, pp. 869-872). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4490 LNCS, No. PART 4).

Efficient GTS allocation algorithm for IEEE 802.15.4. / Youngmin, Ji; Woojin, Park; Sungjun, Kim; An, Sun-Shin.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4490 LNCS PART 4. ed. 2007. p. 869-872 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4490 LNCS, No. PART 4).

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

Youngmin, J, Woojin, P, Sungjun, K & An, S-S 2007, Efficient GTS allocation algorithm for IEEE 802.15.4. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 4 edn, vol. 4490 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 4, vol. 4490 LNCS, pp. 869-872, 7th International Conference on Computational Science, ICCS 2007, Beijing, China, 07/5/27.
Youngmin J, Woojin P, Sungjun K, An S-S. Efficient GTS allocation algorithm for IEEE 802.15.4. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 4 ed. Vol. 4490 LNCS. 2007. p. 869-872. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 4).
Youngmin, Ji ; Woojin, Park ; Sungjun, Kim ; An, Sun-Shin. / Efficient GTS allocation algorithm for IEEE 802.15.4. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4490 LNCS PART 4. ed. 2007. pp. 869-872 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 4).
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