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Minimum Energy and Latency MAC Protocol for Wireless Sensor Networks

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Ubiquitous Intelligence and Computing (UIC 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4611))

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Abstract

Wireless sensor network consists of sensor nodes having limited resources. Energy saving is very important to increase the life time of these networks. In this paper, we propose Minimum Energy and Latency MAC (MELM) protocol for wireless sensor networks. MELM uses dual frequency radio setup inspired by STEM and LEEM to minimize the energy consumption and the latency in a multi-hop environment. Both LEEM and STEM protocols squander energy and increase latency because of overhearing, over-transmission and packet collisions. MELM eliminates these problems by maintaining a scheduling table in all nodes having logical 2-hop distance from the receiver node and by using advance channel reservation mechanism. MELM eradicates the hidden terminal and the exposed terminal problems, which is a key advantage, by maintaining a 2-hop receiver centric scheduling table.

This research was supported by the Ubiquitous Computing and Network (UCN) Project, the Ministry of Information and Communication (MIC) 21st Century Frontier R&D Program in Korea and the MIC(Ministry of Information and Communication), Korea, under the ITFSIP(IT Foreign Specialist Inviting Program) supervised by the IITA(Institute of Information Technology Assessment).

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Jadwiga Indulska Jianhua Ma Laurence T. Yang Theo Ungerer Jiannong Cao

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© 2007 Springer-Verlag Berlin Heidelberg

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Malik, M.A., Lee, BH., Ko, YB., Kim, JH. (2007). Minimum Energy and Latency MAC Protocol for Wireless Sensor Networks. In: Indulska, J., Ma, J., Yang, L.T., Ungerer, T., Cao, J. (eds) Ubiquitous Intelligence and Computing. UIC 2007. Lecture Notes in Computer Science, vol 4611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73549-6_44

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  • DOI: https://doi.org/10.1007/978-3-540-73549-6_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73548-9

  • Online ISBN: 978-3-540-73549-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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