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An Arrival and Departure Time Predictor for Scheduling Communication in Opportunistic IoT

Pozza, R, Georgoulas, S, Moessner, K, Nati, M, Gluhak, A and Krco, S (2016) An Arrival and Departure Time Predictor for Scheduling Communication in Opportunistic IoT Sensors, 16 (11), 1852.

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Abstract

In this article, an Arrival and Departure Time Predictor (ADTP) for scheduling communication in opportunistic Internet of Things (IoT) is presented. The proposed algorithm learns about temporal patterns of encounters between IoT devices and predicts future arrival and departure times, therefore future contact durations. By relying on such predictions, a neighbour discovery scheduler is proposed, capable of jointly optimizing discovery latency and power consumption in order to maximize communication time when contacts are expected with high probability and, at the same time, saving power when contacts are expected with low probability. A comprehensive performance evaluation with different sets of synthetic and real world traces shows that ADTP performs favourably with respect to previous state of the art. This prediction framework opens opportunities for transmission planners and schedulers optimizing not only neighbour discovery, but the entire communication process.

Item Type: Article
Subjects : Communcation Systems
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research
Authors :
NameEmailORCID
Pozza, RUNSPECIFIEDUNSPECIFIED
Georgoulas, SUNSPECIFIEDUNSPECIFIED
Moessner, KUNSPECIFIEDUNSPECIFIED
Nati, MUNSPECIFIEDUNSPECIFIED
Gluhak, AUNSPECIFIEDUNSPECIFIED
Krco, SUNSPECIFIEDUNSPECIFIED
Date : 4 November 2016
Identification Number : 10.3390/s16111852
Copyright Disclaimer : © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
Uncontrolled Keywords : internet of things; neighbour discovery; predictor; opportunistic; scheduling;
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 25 Oct 2016 15:32
Last Modified : 01 Dec 2016 10:11
URI: http://epubs.surrey.ac.uk/id/eprint/812607

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