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

Yuhui Yao, Yan Sun, Chris Phillips, Yue Cao

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)
3 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)3079-3090
JournalIEEE Internet of Things Journal
Volume5
Issue number4
Early online date30 Apr 2018
DOIs
Publication statusPublished - Aug 2018

Fingerprint

Dive into the research topics of 'Movement-Aware Relay Selection for Delay-Tolerant Information Dissemination in Wildlife Tracking and Monitoring Applications'. Together they form a unique fingerprint.

Cite this