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

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.

An Analytical Model for Information Centric Internet of Things Networks in Opportunistic Scenarios

“…Few works consider opportunistic scenarios. The [31] proposed a fuzzy path model based mobility prediction approach for data prefetching for wild animal monitoring which is one of the opportunistic scenarios, but ICNs are not adopted.…”

Exploiting Delay Budget Flexibility for Efficient Group Delivery in the Internet of Things

“…In literature, a Forward-Wait-Deliver (FWD) strategy has been proposed for efficient delivery [12]. The FWD strategy delivers a package in three steps:…”

“…a sensor deployed upon animals). Although our previous work [12] has provided an analysis of directional movement (e.g. foraging or migrating behaviour of animals [13]) for the delivery to individual destinations, it has hitherto been an open issue regarding how to take advantage of such random movements with directional correlation for the group delivery.…”

“…In this paper, feasible exploitation of directional movement is further investigated for efficient group delivery based on the contact prediction model proposed in [12]. Compared with the individual delivery, group delivery brings more optimisation opportunities (relay sharing between targets) but introduces more complexity (in terms of metrics and algorithms) for making decisions.…”

Unmanned Aerial Vehicle Video-Based Target Tracking Algorithm Using Sparse Representation

“…ntelligent urban surveillance and smart transportation systems are significant Internet of Things (IoT) applications for smart cities [1][2]. In these applications, UAV has become one of the most commonly used platforms where imaging devices (e.g., Vis and IR cameras) are installed to capture and locate objects of interest, e.g., vehicle or pedestrian, with the aid of real-time digital signal processors (DSPs).…”