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Sensors 2009, 9(7), 5715-5739; doi:10.3390/s90705715
Article

Adaptive Momentum-Based Motion Detection Approach and Its Application on Handoff in Wireless Networks

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Received: 15 June 2009 / Revised: 3 July 2009 / Accepted: 15 July 2009 / Published: 17 July 2009
(This article belongs to the Special Issue Motion Detectors)
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Abstract

Positioning and tracking technologies can detect the location and the movement of mobile nodes (MNs), such as cellular phone, vehicular and mobile sensor, to predict potential handoffs. However, most motion detection mechanisms require additional hardware (e.g., GPS and directed antenna), costs (e.g., power consumption and monetary cost) and supply systems (e.g., network fingerprint server). This paper proposes a Momentum of Received Signal Strength (MRSS) based motion detection method and its application on handoff. MRSS uses the exponentially weighted moving average filter with multiple moving average window size to analyze the received radio signal. With MRSS, an MN can predict its motion state and make a handoff trigger at the right time without any assistance from positioning systems. Moreover, a novel motion state dependent MRSS scheme called Dynamic MRSS (DMRSS) algorithm is proposed to adjust the motion detection sensitivity. In our simulation, the MRSSand DMRSS-based handoff algorithms can reduce the number of unnecessary handoffs up to 44% and save battery power up to 75%.
Keywords: exponentially weighted moving average; handoff; MRSS; momentum; motion detection; ping-pong effect; received signal strength exponentially weighted moving average; handoff; MRSS; momentum; motion detection; ping-pong effect; received signal strength
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Chung, T.-Y.; Chen, Y.-M.; Hsu, C.-H. Adaptive Momentum-Based Motion Detection Approach and Its Application on Handoff in Wireless Networks. Sensors 2009, 9, 5715-5739.

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