Revisiting Source Routing for Underwater Networking: The SUN Protocol

Toso, Giovanni; Masiero, Riccardo; Casari, Paolo; Komar, Maksym; Kebkal, Oleksiy; Zorzi, Michele

doi:10.1109/access.2017.2779426

Cited by 17 publications

(9 citation statements)

References 39 publications

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“…Due to increased overheads caused by route discovery and maintenance, source routing is less used as compared to other routing paradigms. To reduce this overhead and adapt to the peculiar underwater characteristics Toso et al in [59] have proposed SUN a tailored reactive source routing protocol for underwater acoustic channels. Unlike proactive protocols, SUN conserves, the scarce acoustic bandwidth with its reactive nature.…”

Section: Cross-layer Designs For Enhancing Reliabilitymentioning

confidence: 99%

Cross-Layer Design Approaches in Underwater Wireless Sensor Networks: A Survey

Bhaskarwar

Pete

2021

SN COMPUT. SCI.

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The research in Underwater Wireless Sensor Networks (UWSNs) has gained momentum over the last two decades owing to the vast applications it supports like environmental monitoring, underwater exploration, disaster prevention, military, navigation assistance, etc. The sensor nodes deployed underwater have limited battery capacity. The main challenge is to design energy-efficient protocols facing the constraints due to peculiar characteristics and harsh underwater environment. The traditional layered approach is inadequate and insufficient for this purpose, hence Cross-layer Design (CLD) is the need of the hour that allows information exchange among the different layers to find an optimal solution with better utilization of scarce resources to improve the network performance. As far as we are aware, there is no survey paper available in the literature dedicated to CLD in UWSN's. We present the unique characteristics of the acoustic channel and its corresponding issues and challenges. The different proposals in the literature are categorized and compared based on the performance metrics. The basic approach for each scheme is detailed with its advantages and shortcomings which will help future researchers to overcome them to design efficient schemes.

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Section: Cross-layer Designs For Enhancing Reliabilitymentioning

confidence: 99%

Cross-Layer Design Approaches in Underwater Wireless Sensor Networks: A Survey

Bhaskarwar

Pete

2021

SN COMPUT. SCI.

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“…A source routing based protocol is proposed for underwater acoustic networks in Ref. [25], it is demonstrated in the results that source routing can be conveniently and feasibly used into the underwater networks when the characteristics of underwater acoustic communications is properly implemented and tailored. In Ref.…”

Section: Related Workmentioning

confidence: 99%

QoTa-MPR: QoS-oriented and traffic-aware multi-path routing protocol for internet of remote things

Liu

Guo

et al. 2021

Telecommun Syst

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Internet of Remote Things (IoRT) is widely used in both military and civilian applications. However, due to the unique characteristics, which is characterized as long-distance and high-latency, the design of the routing protocol is a great challenge of IoRT. In this paper, a QoS-oriented and traffic-aware multi-path routing protocol (QoTa-MRP) is proposed for IoRT. QoTa-MRP is composed of two parts. The first part is the link traffic-aware based muti-paths source route discovery mechanism, which is used to establish multipaths with lower link disjoint degree. The second part is path similarity and traffic priority based multi-path selection mechanism, which is used to determine the transmission mode of the traffic flows to enhance the reliability or effectiveness of the transmission. Simultaneously, the protocol is theoretically analyzed in terms of the successful transmission rate of routing transmission data packet. Finally, the dynamic source routing, which is a very representative protocol and is usually used as the baseline comparison protocol, is revisited for the performance verification of the QoTa-MRP in IoRT. It is shown in the simulation results that there are significant superiorities of QoTa-MRP than that of DSR in terms of network throughput, packet loss rate and routing packet header overhead in IoRT.

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“…Furthermore, the optimization algorithms address the various challenges such as optimal deployment, node localization, and clustering and data aggregation. Energy-aware and voidavoidable routing protocol [9] Opportunistic directional forwarding strategy (ODFS), avoids cyclic transmission, flooding and voids; optimal trajectory of sink node to be optimized Water temperature-based routing 2 Toso et al [10] Revisiting source routing [10] Scenario-independent and sourceinitiated routing can work in any connected topology without any prior information. Overhead due to route discovery and maintenance…”

Section: Related Workmentioning

confidence: 99%

Improving Packet Delivery Performance in Water Column Variations through LOCAN in Underwater Acoustic Sensor Network

Rajeswari¹,

Duraipandian²,

Nr³

et al. 2020

Journal of Sensors

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This paper proposes Lion Optimized Cognitive Acoustic Network (LOCAN) to reduce packet delay and packet loss during packet transmission in Underwater Acoustic Sensor Network (UWASN). Packet delay and packet loss in UWASN are because of water column variations such as Doppler effect and geometric spreading (GS). Doppler effect forms due to sensor node’s motion and sea surface variations such as salinity and temperature. Geometric spreading (GS) occurs due to sediment drift wave fronts and frequent changes in node’s location and depth. Water column variations change the amplitude of sound propagation, causing channel coherence and multipath interference, which affect packet transmission. The existing UWASN algorithms focus only on temperature and salinity variations. In LOCAN, channel selection through Lion Optimization Algorithm solves the problems of water column variation and improves the battery life, network lifetime, and throughput. The proposed algorithms show a better result in terms of efficiency, when compared to existing UWASN algorithms.

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Revisiting Source Routing for Underwater Networking: The SUN Protocol

Cited by 17 publications

References 39 publications

Cross-Layer Design Approaches in Underwater Wireless Sensor Networks: A Survey

Cross-Layer Design Approaches in Underwater Wireless Sensor Networks: A Survey

QoTa-MPR: QoS-oriented and traffic-aware multi-path routing protocol for internet of remote things

Improving Packet Delivery Performance in Water Column Variations through LOCAN in Underwater Acoustic Sensor Network

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