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Survey on body area network

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Presentation on theme: "Survey on body area network"— Presentation transcript:

1 Survey on body area network

2 Structure BAN Sensor devices Communication technology PHY
Network and MAC Energy Application

3 BAN A body area network (BAN) is a wireless network of wearable computing devices. The network consists of several miniaturized body sensor units together with a single body central unit.

4 BAN Deployment Data rate Mobility BAN WSN Deployment
BAN does not employ redundant nodes, and only added when they are needed. WSN is often deployed in places that may not be easily accessible by operators which require more nodes to be placed to compensate for node failures. Data rate BAN may occur in a more periodic manner and stable data rate. Most WSNs are employed for event-based monitoring where events can happen at irregular intervals. Mobility BAN users may move around, so that the nodes share the same mobility pattern. WSN nodes are usually considered stationary.

5 Sensor devices Inertial motion unit (Accelerometer and Gyroscope)
Blood glucose Blood pressure CO2 gas sensor Electrocardiogram (ECG) Electroencephalogram (EEG) Blood oxygen Electromyography (EMG) Humidity and temperature sensors

6 Communication technology
UWB (Ultra wideband) Zigbee Bluetooth Technology Frequency band Data rate (b/s) Coverage distance Network topology UWB 3.1~10.6GHz 480M <10 star Zigbee 2.4GHz 250K 30~100 Star/mesh Bluetooth 1M 10

7 PHY Studies focus on characteristics of the signal propagation: around the body (LOS/NLOS)/inside the body Factors affecting the signal propagation Location of the BAN user Location of the sensor node Current activity of the human body

8 PHY Measurement Radio signals are generated in the network analyzer, input in the body through the TX, received in the RX and evaluated in the network analyzer.

9 PHY Characteristics of signal propagation LOS NLOS
It is found that the increase of distance between TX and RX causes an increase of the path loss The dominant propagation path is the direct wave In classroom, the power of reflected waves exceeded that of the direct wave for the lower body NLOS The propagation wave is more likely to diffract around the human body rather than to pass through it The dominant path is reflected wave in classroom is reflected wave.

10 PHY The difference between body shapes (i.e. male, female and child) are at least as large as the impact of a patient's arm movements. In the body Signals propagating in the body are attenuated mainly due to absorption of power in the tissue. The path loss is much higher than the free space propagation. the frequency bands between 200MHz to 600MHz are suitable in the range from 0 to 3GHz. In frequency range of 3-11 GHz, The signal attenuation in the body increases when the frequency increases. Human body has a good response to signal transportation in the bands between 3-5 GHz.

11 Network and MAC Network DTN routing/probabilistic routing

12 Network and MAC MAC Scheduling based Contention based
Scheduling based MAC Contention basted MAC Power consumption Low high Bandwidth utilization Maximum low Transmission efficiency High

13 Network and MAC MAC Most current MAC protocols specifically developed for BAN are based on IEEE , as most of the radios used in WBANs are based on IEEE compliant chip set.

14 Energy Energy consumption Approach Sensing Communication
Data processing Approach Turn on/off the radio periodically Reducing idle listening/contention/overhearing

15 Energy MAC Network topology Approach BSN-MAC TDMA/CSMA mixed
Network topology Approach BSN-MAC TDMA/CSMA mixed Star topology The coordinator utilizing the priority of the nodes to make adjustment H-MAC TDMA based Exploiting heartbeat rhythm information to perform time synchronization CICADA Tree topology Setting up a network tree for data gathering and communication using distributed slot assignment Omeni Using master-slave approach and assigning an extra slot to the node for direct communication at alarming time

16 Energy Protocol Network topology Approach Anybody Mesh
Using clustering to reduce the number of direct transmissions to the remote base station

17 Application

18 Application Training Health monitoring Positioning
Particle filtering/Kalman filtering/range free/ML/LS/DV-hop Application Scenario Feedback Training Dance/golf/swimming/football/physical rehabilitation Guidance Health monitoring Remote health monitoring/falling detection Physical information and alarming Positioning Location

19 Thanks!

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