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Pre-Conference Talk by HAN Chung Kyun | Mobility-Driven BLE Transmit-Power Adaptation for Participatory Data Muling

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Mobility-Driven BLE Transmit-Power Adaptation for Participatory Data Muling

Speaker (s):


 


 

HAN Chung Kyun

PhD Candidate

School of Information Systems

Singapore Mana

Date:


Time:


Venue:

 

December 3, 2018, Monday


3:00pm - 3:30pm


Meeting Room 4.4, Level 4

School of Information Systems

Singapore Management University

80 Stamford Road

Singapore 178902

We look forward to seeing you at this research seminar.

About the Talk

This paper analyzes a human-centric framework, called SmartABLE, for easy retrieval of the sensor values from pervasively deployed smart objects in a campus-like environment. In this framework, smartphones carried by campus occupants act as data mules, opportunistically retrieving data from nearby BLE (Bluetooth Low Energy) equipped smart object sensors and relaying them to a backend repository.

We focus specifically on dynamically varying the transmission power of the deployed BLE beacons, so as to extend their operational lifetime without sacrificing the frequency of sensor data retrieval. We propose a memetic algorithm-based power adaptation strategy that can handle deployments of thousands of beacons and tackles two distinct objectives: (1) maximizing BLE beacon lifetime, and (2) reducing the BLE scanning energy of the mules. Using real-world movement traces on the Singapore Management University campus, we show that the benefit of such mule movement-aware power adaptation: it provides reliably frequent retrieval of BLE sensor data, while achieving a significant (5-fold) increase in the sensor lifetime, compared to a traditional fixed-power approach.

This a pre-conference talk for IEEE ICPADS 2018.

About the Speaker

HAN Chung-Kyun is a PhD candidate in School of Information Systems, specializing in Intelligent Systems & Optimization (IS&O) under the supervision of Associate Professor CHENG Shih-Fen. He is interested in advanced optimization techniques and data analysis. His current research focuses on solving optimization problems in mobile crowdsourcing domains.