Abstract
Underwater Wireless Sensor Networks (UWSNs) are an enabling technology for many applications in commercial, military, and scientific domains. In some emergency response applications of UWSN, data dissemination is more important, therefore these applications are handled differently as compared to energy-focused approaches, which is only possible when propagation delay is minimized and packet delivery at surface sinks is assured. Packet delivery underwater is a serious concern because of harsh underwater environments and the dense deployment of nodes, which causes collisions and packet loss. Resultantly, re-transmission causes energy loss and increases end-to-end delay (). In this work, we devise a framework for the joint optimization of sink mobility, hold and forward mechanisms, adoptive depth threshold () and data aggregation with pattern matching for reducing nodal propagation delay, maximizing throughput, improving network lifetime, and minimizing energy consumption. To evaluate our technique, we simulate the three-dimensional (3-D) underwater network environment with mobile sink and dense deployments of sensor nodes with varying communication radii. We carry out scalability analysis of the proposed framework in terms of network lifetime, throughput, and packet drop. We also compare our framework to existing techniques, i.e., Mobicast and iAMCTD protocols. We note that adapting varying based on node density in a range of network deployment scenarios results in a reduced number of re-transmissions, good energy conservation, and enhanced throughput. Furthermore, results from extensive simulations show that our proposed framework achieves better performance over existing approaches for real-time delay-intolerant applications.
Highlights
In recent years, the trend towards underwater environment exploration has gained significant attention due to the immense number of underwater applications such as environmentalSensors 2020, 20, 3467; doi:10.3390/s20123467 www.mdpi.com/journal/sensorsSensors 2020, 20, 3467 monitoring, ocean sampling, undersea exploration, assisted navigation, disaster prevention [1,2], mine reconnaissance, and pollution monitoring, and localization [3,4]
MAC solutions for Underwater Wireless Sensor Networks (UWSNs) are based on CSMA or CDMA protocols
We presented an energy-consumption model for depth-based routing protocols
Summary
The trend towards underwater environment exploration has gained significant attention due to the immense number of underwater applications such as environmentalSensors 2020, 20, 3467; doi:10.3390/s20123467 www.mdpi.com/journal/sensorsSensors 2020, 20, 3467 monitoring, ocean sampling, undersea exploration, assisted navigation, disaster prevention [1,2], mine reconnaissance, and pollution monitoring, and localization [3,4]. Wireless sensors (nodes) are deployed in a targeted area to sense information of interest. The sensed information is sent to surface sink(s) where it is properly interpreted [5]. The underwater nodes have more costly hardware than the terrestrial ones, and need relatively high transmit power to account for the harsh underwater channel conditions [6]. These nodes are prone to failure as they have limited battery power. The propagation delay in Underwater Wireless Sensor Networks (UWSNs) is five times larger than terrestrial sensor networks [7], the available bandwidth is highly limited, and Global
Published Version (Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have