Title: Many-to-one communication protocol for wireless sensor networks

Authors: Chansu Yu; Robert Fiske; Seungmin Park; Won-Tae Kim

Addresses: Department of Electrical and Computer Engineering, Cleveland State University, Cleveland, OH 44115, USA; Division of IT Convergence Engineering, POSTECH, Pohang, Gyeongbuk, 790-784, South Korea. ' Department of Electrical and Computer Engineering, Cleveland State University, Cleveland, OH 44115, USA; Division of IT Convergence Engineering, POSTECH, Pohang, Gyeongbuk, 790-784, South Korea. ' Embedded Software Research Division, Electronics and Telecommunications Research Institute, 138 Gajeongno, Yuseong-gu, Daejeon, 305-700, South Korea. ' Embedded Software Research Division, Electronics and Telecommunications Research Institute, 138 Gajeongno, Yuseong-gu, Daejeon, 305-700, South Korea

Abstract: This paper proposes a novel communication protocol, called Many-to-One Sensors-to-Sink (MOSS), tailored to Wireless Sensor Networks (WSNs). It exploits the unique sensors-to-sink traffic pattern to realise low-overhead medium access and low-latency sensors-to-sink routing paths. In conventional schedule-based Medium Access Control (MAC) protocols such as S-MAC, sensor nodes in the proximity of the event generate reports simultaneously, causing unreliable and unpredictable performance during a brief but critical period of time when an event of interest occurs. MOSS is based on Time Division Multiple Access (TDMA) that avoids energy waste due to collisions, idle listening and overhearing and avoids unreliable behaviour mentioned above. A small test-bed consisting of 12 TelosB motes as well as extensive simulation study based on ns-2 have shown that MOSS reduces the sensor-to-sink latency by as much as 50.5% while consuming only 12.8-19.2% of energy compared to conventional TDMA algorithms.

Keywords: TDMA; WSNs; wireless sensor networks; energy efficiency; medium access control; collision-free scheduling; channel capture; wireless networks; communication protocols; sensors-to-sink latency; traffic patterns.

DOI: 10.1504/IJSNET.2012.050454

International Journal of Sensor Networks, 2012 Vol.12 No.3, pp.160 - 170

Received: 15 Jul 2011
Accepted: 19 Jun 2012
Published online: 23 Nov 2012 *

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