Geographic routing protocols for underwater wireless sensor networks:a survey
Sihem Souiki, Maghnia Feham, Mohamed Feham, Nabila Labraoui

TL;DR
This survey reviews geographic routing protocols for underwater wireless sensor networks, categorizing them into three types and highlighting recent advances and challenges in designing efficient underwater communication routes.
Contribution
It provides a comprehensive review and classification of geographic routing protocols in UWSN, including a novel taxonomy based on forwarding strategies.
Findings
Protocols are classified into greedy, restricted directional flooding, and hierarchical categories.
Recent algorithms improve routing efficiency considering underwater channel challenges.
The taxonomy aids in understanding and selecting routing strategies for UWSN.
Abstract
Underwater wireless sensor networks (UWSN), similar to the terrestrial sensor networks, have different challenges such as limited bandwidth, low battery power, defective underwater channels, and high variable propagation delay. A crucial problem in UWSN is finding an efficient route between a source and a destination. Consequently, great efforts have been made for designing efficient protocols while considering the unique characteristics of underwater communication. Several routing protocols are proposed for this issue and can be classified into geographic and non-geographic routing protocols. In this paper we focus on the geographic routing protocols. We introduce a review and comparison of different algorithms proposed recently in the literature. We also presented a novel taxonomy of these routing in which the protocols are classified into three categories (greedy, restricted…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsUnderwater Vehicles and Communication Systems · Energy Efficient Wireless Sensor Networks · Energy Harvesting in Wireless Networks
