Abstract
Delay Tolerant Networking (DTN) is well suited to challenging environments, defined by the lack of reliable end-to-end communication paths to the destination. However, the available energy is not considered in the majority of existing DTN routing protocols when they make forwarding decisions. This limits both delivery probabilities and the network lifetimes in energy-constrained applications. This paper investigates energy-aware routing protocols for wildlife tracking application to transmit data from attached sensors on the animal’s back to data collection base stations. We propose three new network protocol strategies to extend common DTN routing protocols, and consider the available energy to achieve efficient utilization of the node’s energy in transmission and sensing. These strategies enhance packet delivery rates up to 13% by carefully using the limited energy resources. We simulate two different animal tracking scenarios and show that the new strategies provide significant performance improvement under different scenarios.
Highlights
Wireless Sensor Networks (WSNs) are an active area of research that has gained significant attention in the past decade
The performance of our proposed strategies, viz., Threshold, Required Energy (RRE) and Optimized Remaining Required Energy (ORRE) are evaluated with four Delay Tolerant Networking (DTN) routing protocols: Epidemic, Prophet, Spray and Wait, and Direct Delivery
Our study investigated the Delay Tolerant Networking (DTN) routing protocols for wildlife tracking applications within two different scenarios
Summary
Wireless Sensor Networks (WSNs) are an active area of research that has gained significant attention in the past decade. WSNs are commonly used for monitoring indoor or outdoor environments and relaying sensed data to a database via a gateway. An important and challenging application of WSNs is monitoring wildlife where attached sensors on the animals can track movement with high temporal and spatial resolution [1]. A WSN node has three components, viz., sensing for measuring properties of the environment, processing for storing-processing the data and wireless communication for transmitting the sensed data to a Base Station (BS) or data sink [2]. WSN nodes can track the location and activity of those animals to investigate their behaviour. New approaches are needed to design WSN system architectures and protocols to maximize the data delivery, while considering available energy
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
