A Stateless Opportunistic Routing Protocol for Underwater Sensor Networks

Ghoreyshi, Seyed Mohammad; Shahrabi, Alireza; Boutaleb, Tuleen

doi:10.1155/2018/8237351

Cited by 31 publications

(18 citation statements)

References 55 publications

(104 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…SORP [51] is a depth-based stateless opportunistic routing protocol. This focuses on the issue of voids and trapped nodes faced by routing protocols in UWSNs.…”

Section: Routing Protocols For Uwsnsmentioning

confidence: 99%

See 1 more Smart Citation

A Comprehensive Survey of Recent Routing Protocols for Underwater Acoustic Sensor Networks

Islam

Lee

2019

Sensors

View full text Add to dashboard Cite

Underwater Sensor Networks (UWSN) have attracted huge attention due to their significance in oceanic observation and exploration. They offer a vast number of applications, many of which require routing the sensed data to a centralized location. This makes routing an important part of the design of such applications. In this paper, we present a comprehensive survey of recently proposed routing protocols for UWSNs. We evaluate the proposed schemes through an extensive set of parameters that define the core characteristics of a routing protocol. Moreover, we present a summary of the methods used by each scheme to familiarize readers with the basic operations of the schemes. We also present our view of the strengths and weakness of each scheme. For ease of description, the addressed routing protocols are divided into two categories: localization-based, and localization-free routing schemes. Each of the two categories is further divided into the protocols that consider node mobility, and those that do not. Lastly, we present our view on open research topics.

show abstract

“…SORP [51] is a depth-based stateless opportunistic routing protocol. This focuses on the issue of voids and trapped nodes faced by routing protocols in UWSNs.…”

Section: Routing Protocols For Uwsnsmentioning

confidence: 99%

“…( a ) Forwarding area in a high density network, ( b ) Forwarding area in a low density network [51]. …”

Section: Figurementioning

confidence: 99%

A Comprehensive Survey of Recent Routing Protocols for Underwater Acoustic Sensor Networks

Islam

Lee

2019

Sensors

View full text Add to dashboard Cite

show abstract

“…The authors in [15] proposed a stateless protocol that advanced packets to the sea surface in an opportunistic manner, i.e., a group of certain nodes, chosen under certain criterion, participated in information forwarding. When a void-hole existed, it was identified, and all the paths that led to such a hole were discarded for packets' advancements.…”

Section: Related Workmentioning

confidence: 99%

Energy-Aware Scalable Reliable and Void-Hole Mitigation Routing for Sparsely Deployed Underwater Acoustic Networks

et al. 2019

View full text Add to dashboard Cite

In wireless underwater sensor networks (WUSNs), network protocols for information routing are usually designed when a significant number of nodes are present in the network. Therefore, for sparse conditions, when a noticeable reduction in the number of nodes occurs, the performance of such protocols exhibits a degraded behavior pattern. To cope with routing issues when sparse conditions prevail, two routing algorithms for WUSNs are proposed in this paper. They are energy-aware scalable reliable and void-hole mitigation routing (ESRVR) and cooperative energy-aware scalable reliable and void-hole mitigation routing (Co-ESRVR). The ESRVR uses a number of strategies. Firstly, it uses two hop neighbors’ information to develop routing trajectories for information advancement, as one hop information cannot avoid a void-hole, a condition when a node is not able to find neighbors towards the sea surface, and more than two hop information is difficult to obtain when sparse conditions prevail. Secondly, when a void-hole still exists, the protocol uses a backward transmission mechanism to find other routing paths to deliver packets to the end target. Thirdly, the time by which a packet is held by a node prior to transmission is short for the nodes with low energy, depth and high count of neighbors. This reduces packets loss and avoids congestion of the channel. It also helps the nodes with no or few neighbors to hold the packet for a significant chunk of time until they find suitable neighbors, due to sea tides and currents, for further packets’ advancement. The Co-ESRVR further adds reliability to information advancement by adding routing in a cooperative fashion to ESRVR, which involves packets advancement to destination along two paths: directly from source and via a relayed path. This provides multiple paths for data advancement to the sea surface, so that if one path is badly affected by the harsh sea characteristics, others may not be. Unlike the counterpart protocol, the proposed algorithms are not dependent on a node’s geographical location or the distance from the sea surface, which increases their scalability and reduces the computational complexity. Performance analysis displays superior behavior patterns of the proposed algorithms over the counterpart in terms of the compared characteristics.

show abstract

“…Underwater acoustic sensor networks (UW-ASNs) are gaining an increasing interest within the research community since they are the enabling technology for a broad range of applications. Indeed, UW-ASNs brought many applications to life, such as; deep offshore exploration, tsunami warning, and especially oil field detection [1]. Consequently, designing networking protocols is of paramount importance to enable the deployment and the proper functioning of UW-ASNs.…”

Section: Introductionmentioning

confidence: 99%

Time Evolution of Underwater Sensor Networks Coverage and Connectivity Using Physically Based Mobility Model

Bouabdallah

2019

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

Underwater mobile acoustic sensor networks (UW-ASNs) require the design of new networking protocols due to fundamental differences with terrestrial wireless sensor networks. The performance of these protocols is highly impacted by the mobility of sensors, especially when they are freely floating. In such mobile UW-ASNs, nodes move with the water currents but are constrained by the gravitational weight of the sensor along with the water resistance and the buoyant force. A realistic mobility model that can reflect the physical movement of randomly scattered and freely floating sensor nodes under ocean currents provides clearer understanding of the communication challenges and hence helps conceiving efficient communication protocols. In this paper, we first propose an exhaustive physically inspired mobility model which meticulously captures the dynamics of underwater environments. We, then, study the resulting time evolution of network coverage and connectivity. Our objective is to provide the underwater network research community with a realistic mobility model that could be exploited in conceiving networking communication protocols such as routing, localization, and medium access. Namely, we show that the network mobility effect on coverage and connectivity is more significant in intermediately dense UW-ASNs. Less effect is recorded on the coverage and connectivity for low- and high-density UW-ASNs.

show abstract

A Stateless Opportunistic Routing Protocol for Underwater Sensor Networks

Cited by 31 publications

References 55 publications

A Comprehensive Survey of Recent Routing Protocols for Underwater Acoustic Sensor Networks

A Comprehensive Survey of Recent Routing Protocols for Underwater Acoustic Sensor Networks

Energy-Aware Scalable Reliable and Void-Hole Mitigation Routing for Sparsely Deployed Underwater Acoustic Networks

Time Evolution of Underwater Sensor Networks Coverage and Connectivity Using Physically Based Mobility Model

Contact Info

Product

Resources

About