Movement-Aware Relay Selection for Delay-Tolerant Information Dissemination in Wildlife Tracking and Monitoring Applications

Yao, Yuhui, Sun, Yan, Phillips, Chris and Cao, Yue (2018) Movement-Aware Relay Selection for Delay-Tolerant Information Dissemination in Wildlife Tracking and Monitoring Applications. IEEE Internet of Things Journal, 5 (4). pp. 3079-3090. ISSN 2327-4662

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Official URL: http://doi.org/10.1109/JIOT.2018.2831439

Abstract

As a promising use-case of the Internet of Things (IoT), wildlife tracking and monitoring applications greatly benefit the ecology-related research both commercially and scientifically. In literature, a Forward-Wait-Deliver strategy has been researched to facilitate energy-efficient dissemination of delaytolerant information, which penitentially contributes to long-term tracking and monitoring. However, this strategy is not directly applicable for wildlife tracking and monitoring applications, as the movement trajectory of animals cannot be precisely predicted for relay selection. To this end, further studies are required to utilise partially predictable mobility based on more generalised navigational information such as the movement direction. In this paper, the feasible exploitation of directional movement in pathunconstrained mobility is investigated for strategic forwarding. Our proposal is an advance to the state-of-the-art because the directional correlation of destination movement is considered to dynamically exploit the node mobility for the optimal selection of a stationary relay. Simulation results show that higher delivery utility can be achieved by the proposed fuzzy path model compared with a forwarding scheme without contact prediction or one based on linear trajectory model.

Item Type: Article
Uncontrolled Keywords: directional correlation, movement estimation, contact prediction
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Yue Cao
Date Deposited: 08 May 2018 15:32
Last Modified: 11 Oct 2019 17:31
URI: http://nrl.northumbria.ac.uk/id/eprint/34118

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