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

Tein-Yaw Chung,Yung-Mu Chen,Chih-Hung Hsu

doi:10.3390/s90705715

Tein-Yaw Chung, Yung-Mu Chen + Show 1 more

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Journal: Sensors	Publication Date: Jul 17, 2009
Citations: 11	License type: CC BY 3.0

Affiliation: Yuan Ze University

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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 MRSS- and DMRSS-based handoff algorithms can reduce the number of unnecessary handoffs up to 44% and save battery power up to 75%.

Highlights

With the rapid development of wireless network technologies, the generation wireless network is expected to integrate various wireless access technologies, such as Ultra-Wideband, WLAN, WiMAX, UMTS and 3GPP LTE to provide an all-IP communication environment and support various IP-based services, such as WWW, VoIP, IPTV, vehicle safety inspection [1, 2], intelligent transport systems [3], security monitor [4, 5] and homecare health, to mobile users anytime anywhere
Environment and in a Mobile WiMAX environment respectively. These results display that the rate of DIF and momentum change declines when the starting position of a user is farther away from the access point (AP), which results in a larger delay for both MACD and Momentum of Received Signal Strength (MRSS) to detect the leaving of the mobile nodes (MNs)
The performance of MRSS-based handoff method and Dynamic MRSS (DMRSS)-based handoff method were compared with various received signal strength (RSS) threshold-based handoff algorithms [9, 10], the geographic-based handoff algorithm [23] and the MACD-based handoff algorithm [27]

Summary

Introduction

With the rapid development of wireless network technologies, the generation wireless network is expected to integrate various wireless access technologies, such as Ultra-Wideband, WLAN, WiMAX, UMTS and 3GPP LTE to provide an all-IP communication environment and support various IP-based services, such as WWW, VoIP, IPTV, vehicle safety inspection [1, 2], intelligent transport systems [3], security monitor [4, 5] and homecare health, to mobile users anytime anywhere. Based on the user motion state detection results, an MN can decide to activate or terminate its interfaces to save power and reduce handoff dropping rate in a network discovery process. The following three network discovery modes are defined in the MRSS/DMRSS-based handoff algorithm to reduce power consumption.

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