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. 2013 Jun 3;13(6):7308-22.
doi: 10.3390/s130607308.

An optimized handover scheme with movement trend awareness for body sensor networks

Wen Sun  1 , Zhiqiang Zhang, Lianying Ji, Wai-Choong Wong
Affiliations

An optimized handover scheme with movement trend awareness for body sensor networks

Wen Sun et al. Sensors (Basel). .

Abstract

When a body sensor network (BSN) that is linked to the backbone via a wireless network interface moves from one coverage zone to another, a handover is required to maintain network connectivity. This paper presents an optimized handover scheme with movement trend awareness for BSNs. The proposed scheme predicts the future position of a BSN user using the movement trend extracted from the historical position, and adjusts the handover decision accordingly. Handover initiation time is optimized when the unnecessary handover rate is estimated to meet the requirement and the outage probability is minimized. The proposed handover scheme is simulated in a BSN deployment area in a hospital environment in UK. Simulation results show that the proposed scheme reduces the outage probability by 22% as compared with the existing hysteresis-based handover scheme under the constraint of acceptable handover rate.

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Figures

Figure 1.
Figure 1.
The common BSN architecture.
Figure 2.
Figure 2.
Flow chart of the proposed handover scheme.
Figure 3.
Figure 3.
Position prediction.
Figure 4.
Figure 4.
Confidence probability prediction.
Figure 5.
Figure 5.
Performance gain.
Figure 6.
Figure 6.
Empirical CDF comparison of Kalman filter output and RSSI-based tracking.
Figure 7.
Figure 7.
Comparison of handover rate in the BSN deployment case without constructive constraints.
Figure 8.
Figure 8.
Comparison of the number of outage in the BSN deployment case without constructive constraints.
Figure 9.
Figure 9.
Floor map of Emergency Department in UK Good Samaritan Hospital.
Figure 10.
Figure 10.
Comparison of handover rate in the BSN deployment case with constructive constraints.
Figure 11.
Figure 11.
Comparison of the number of outage in the BSN deployment case with constructive constraints.
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