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ThinkMind // ADAPTIVE 2015, The Seventh International Conference on Adaptive and Self-Adaptive Systems and Applications // View article adaptive_2015_3_20_50084


Sink Mobility Strategies for Reliable Data Collection in Wireless Sensor Networks

Authors:
Yuki Fujita
Daichi Kominami
Masayuki Murata

Keywords: Wireless sensor networks, Reliable data collection

Abstract:
Internet of Things (IoT) and machine-to-machine (M2M) will take root throughout our life in the near future. Therefore more and more reliability is required in many wireless sensor network applications, such as the intruder detection and searching system for main rescuers with some sensor devices. However, without the assumption that all sensor nodes are reachable to one of sink nodes through multi-hop communication and the connectivity among the sensor nodes are stable, it is difficult to guarantee the reliability of data collection. In this paper, we focus on controlling the mobility of the mobile sink and propose two types of mobility strategies to collect the sensing data of all sensor nodes in the observed area certainly. The first strategy is learning the observed area and the other is collecting the sensing data using the learned information. Through computer simulations, we show that the mobile sink with the mobility strategies in our proposal can collect the sensing data of all sensor nodes.

Pages: 58 to 63

Copyright: Copyright (c) IARIA, 2015

Publication date: March 22, 2015

Published in: conference

ISSN: 2308-4146

ISBN: 978-1-61208-391-9

Location: Nice, France

Dates: from March 22, 2015 to March 27, 2015

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