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Journal ArticleDOI

VAPR: Void-Aware Pressure Routing for Underwater Sensor Networks

TLDR
A robust soft-state routing protocol that supports opportunistic directional forwarding; and a new framework to attain loop freedom in static and mobile underwater networks to guarantee packet delivery are proposed.
Abstract
Underwater mobile sensor networks have recently been proposed as a way to explore and observe the ocean, providing 4D (space and time) monitoring of underwater environments. We consider a specialized geographic routing problem called pressure routing that directs a packet to any sonobuoy on the surface based on depth information available from on-board pressure gauges. The main challenge of pressure routing in sparse underwater networks has been the efficient handling of 3D voids. In this respect, it was recently proven that the greedy stateless perimeter routing method, very popular in 2D networks, cannot be extended to void recovery in 3D networks. Available heuristics for 3D void recovery require expensive flooding. In this paper, we propose a Void-Aware Pressure Routing (VAPR) protocol that uses sequence number, hop count and depth information embedded in periodic beacons to set up next-hop direction and to build a directional trail to the closest sonobuoy. Using this trail, opportunistic directional forwarding can be efficiently performed even in the presence of voids. The contribution of this paper is twofold: a robust soft-state routing protocol that supports opportunistic directional forwarding; and a new framework to attain loop freedom in static and mobile underwater networks to guarantee packet delivery. Extensive simulation results show that VAPR outperforms existing solutions.

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Citations
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Journal ArticleDOI

Geographic and Opportunistic Routing for Underwater Sensor Networks

TL;DR: Simulation results show that GEDAR significantly improves the network performance when compared with the baseline solutions, even in hard and difficult mobile scenarios of very sparse and very dense networks and for high network traffic loads.
Journal ArticleDOI

Underwater Wireless Sensor Networks: A Review of Recent Issues and Challenges

TL;DR: A survey of UWSN regarding underwater communication channel, environmental factors, localization, media access control, routing protocols, and effect of packet size on communication is conducted.
Book ChapterDOI

Advances in Underwater Acoustic Networking

TL;DR: This chapter contains sections titled: Introduction Communication Architecture Basics of Underwater Communications Physical Layer Medium Access Control Layer Network Layer Cross-Layer Design Experimental Platforms UW-Buffalo: An Underwater Acoustic Testbed at the University at Buffalo.
Journal ArticleDOI

A Survey on Underwater Acoustic Sensor Network Routing Protocols

TL;DR: This is the first paper that introduces intelligent algorithm-based UASN routing protocols, and all the routing protocols have been classified into different groups according to their characteristics and routing algorithms, such as the non-cross-layer design routing protocol, the traditional cross-layerDesign routing protocol and the intelligent algorithm based routing protocol.
Journal ArticleDOI

CARP: A Channel-aware Routing Protocol for Underwater Acoustic Wireless Networks

TL;DR: Results show that CARP robust mechanism for relay selection doubles the packet delivery, which has been investigated through ns2-based simulations and experiments at sea.
References
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Proceedings ArticleDOI

Ad-hoc on-demand distance vector routing

TL;DR: An ad-hoc network is the cooperative engagement of a collection of mobile nodes without the required intervention of any centralized access point or existing infrastructure and the proposed routing algorithm is quite suitable for a dynamic self starting network, as required by users wishing to utilize ad- hoc networks.

Dynamic Source Routing in Ad Hoc Wireless Networks.

TL;DR: In this article, the authors present a protocol for routing in ad hoc networks that uses dynamic source routing, which adapts quickly to routing changes when host movement is frequent, yet requires little or no overhead during periods in which hosts move less frequently.
Book ChapterDOI

Dynamic Source Routing in Ad Hoc Wireless Networks

TL;DR: This paper presents a protocol for routing in ad hoc networks that uses dynamic source routing that adapts quickly to routing changes when host movement is frequent, yet requires little or no overhead during periods in which hosts move less frequently.
Proceedings ArticleDOI

Highly dynamic Destination-Sequenced Distance-Vector routing (DSDV) for mobile computers

TL;DR: The modifications address some of the previous objections to the use of Bellman-Ford, related to the poor looping properties of such algorithms in the face of broken links and the resulting time dependent nature of the interconnection topology describing the links between the Mobile hosts.

Optimized Link State Routing Protocol (OLSR)

TL;DR: The Optimized Link State Routing protocol is an optimization of the classical link state algorithm tailored to the requirements of a mobile wireless LAN and provides optimal routes (in terms of number of hops).
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