Poster: Selective reference mechanism for neighbor discovery in low-duty-cycle wireless sensor networks

Liangyin Chen; Shuo Guo; Yuanchao Shu; Fan Zhang; Yu Gu; Jiming Chen; Tian He

doi:10.1145/2070942.2070993

Poster: Selective reference mechanism for neighbor discovery in low-duty-cycle wireless sensor networks

Liangyin Chen, Shuo Guo, Yuanchao Shu, Fan Zhang, Yu Gu, Jiming Chen, Tian He

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

Based on spatiotemporal properties of neighborhood and mobile properties of nodes in the networks, we propose Selective Reference Mechanism to trade off between the delay and overhead of neighbor discovery in low-duty-cycle WSNs. Extensive simulation and test-bed experiment confirm our theoretical analysis, showing as much as 35.4% increase in discovery probability, 38.6% reduction in discovery delay and 27.7% reduction in total energy consumption.

Original language	English (US)
Title of host publication	SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
Pages	367-368
Number of pages	2
DOIs	https://doi.org/10.1145/2070942.2070993
State	Published - 2011
Event	9th ACM Conference on Embedded Networked Sensor Systems, SenSys 2011 - Seattle, WA, United States Duration: Nov 1 2011 → Nov 4 2011

Publication series

Name	SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems

Other

Other	9th ACM Conference on Embedded Networked Sensor Systems, SenSys 2011
Country/Territory	United States
City	Seattle, WA
Period	11/1/11 → 11/4/11

Keywords

group
low-duty-cycle WSNs
neighbor discovery
selective reference

Publisher link

10.1145/2070942.2070993

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Chen, L., Guo, S., Shu, Y., Zhang, F., Gu, Y., Chen, J., & He, T. (2011). Poster: Selective reference mechanism for neighbor discovery in low-duty-cycle wireless sensor networks. In SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems (pp. 367-368). (SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems). https://doi.org/10.1145/2070942.2070993

Poster: Selective reference mechanism for neighbor discovery in low-duty-cycle wireless sensor networks. / Chen, Liangyin; Guo, Shuo; Shu, Yuanchao et al.
SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems. 2011. p. 367-368 (SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chen, L, Guo, S, Shu, Y, Zhang, F, Gu, Y, Chen, J & He, T 2011, Poster: Selective reference mechanism for neighbor discovery in low-duty-cycle wireless sensor networks. in SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems. SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems, pp. 367-368, 9th ACM Conference on Embedded Networked Sensor Systems, SenSys 2011, Seattle, WA, United States, 11/1/11. https://doi.org/10.1145/2070942.2070993

Chen L, Guo S, Shu Y, Zhang F, Gu Y, Chen J et al. Poster: Selective reference mechanism for neighbor discovery in low-duty-cycle wireless sensor networks. In SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems. 2011. p. 367-368. (SenSys 2011 - Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems). doi: 10.1145/2070942.2070993

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abstract = "Based on spatiotemporal properties of neighborhood and mobile properties of nodes in the networks, we propose Selective Reference Mechanism to trade off between the delay and overhead of neighbor discovery in low-duty-cycle WSNs. Extensive simulation and test-bed experiment confirm our theoretical analysis, showing as much as 35.4% increase in discovery probability, 38.6% reduction in discovery delay and 27.7% reduction in total energy consumption.",

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Poster: Selective reference mechanism for neighbor discovery in low-duty-cycle wireless sensor networks

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