Reliable Path Selection and Opportunistic Routing Protocol for Underwater Wireless Sensor Networks

Ismail, Muhammad; Islam, Md. Saiful; Ahmad, Ibrar; Khan, Farrukh Aslam; Qazi, Abdul Baseer; Khan, Zahoor; Wadud, Zahid; Al-Rakhami, Mabrook

doi:10.1109/access.2020.2992759

Cited by 43 publications

(23 citation statements)

References 27 publications

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“…It is generally understood that OR is an efficient diversity technique to combat the unreliability of the wireless medium, particularly in multi-hop scenarios. Looking at the related literature, newly emerged OR metrics [78]- [86], recentlydevised opportunistic-based routing protocols [85], [87]- [98], extensive use of OR in new environments [4], networks [29] [5] and applications [79], and also the publication of recent OR surveys [99] [23] all point to the fact that OR and, certainly, OR metrics are still a very alive topic and of huge interest to wireless researchers, justify the timeliness of this survey. To justify the need for doing this survey, we proceed by summarizing the most relevant existing surveys in Table II.…”

Section: A Motivationmentioning

confidence: 99%

Opportunistic routing metrics: A timely one-stop tutorial survey

Abdollahi

Eshghi

Kelarestaghi

et al. 2020

Journal of Network and Computer Applications

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High-speed, low latency, and heterogeneity features of 5G, as the common denominator of many emerging and classic wireless applications, have put wireless technology back in the spotlight. Continuous connectivity requirement in low-power and wide-reach networks underlines the need for more efficient routing over scarce wireless resources, in multi-hp scenarios. In this regard, Opportunistic Routing (OR), which utilizes the broadcast nature of wireless media to provide transmission cooperation amongst a selected number of overhearing nodes, has become more promising than ever. Crucial to the overall network performance, which nodes to participate and where they stand on the transmission-priority hierarchy, are decided by userdefined OR metrics embedded in OR protocols. Therefore, the task of choosing or designing an appropriate OR metric is a critical one. The numerousness, proprietary notations, and the objective variousness of OR metrics can cause the interested researcher to lose insight and become overwhelmed, making the metric selection or design effort-intensive. While there are not any comprehensive OR metrics surveys in the literature, those who partially address the subject are non-exhaustive and lacking in detail. Furthermore, they offer limited insight regarding related taxonomy and future research recommendations. In this paper, starting with a custom tutorial with a new look to OR and OR metrics, we devise a new framework for OR metric design. Introducing a new taxonomy enables us to take a structured, investigative, and comparative approach to OR metrics, supported by extensive simulations. Exhaustive coverage of OR metrics, formulated in a unified notation, is presented with sufficient details. Self-explanatory, easy-to-grasp, and visual-friendly quick references are provided, which can be used independently from the rest of the paper. Finally, a new insightful framework for future research directions is developed. This tutorial-survey has been organized to benefit both generalists and OR specialists equally, and to be used not only in its entirety but selectively as well.

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Section: A Motivationmentioning

confidence: 99%

Opportunistic routing metrics: A timely one-stop tutorial survey

Abdollahi

Eshghi

Kelarestaghi

et al. 2020

Journal of Network and Computer Applications

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“…The existing protocols proposed for UWSNs are described in this section. Several routing strategies are proposed including vector-based, 4,7,8 depth-based, 5,[9][10][11] cluster based, 12,13 and AUV-based, [14][15][16] as summarized in Table 1.…”

Section: Related Workmentioning

confidence: 99%

“…Let us consider an example where we have an ENN A as shown in Figure 7 having coordinate A (x A , y A , z A ) and let the coordinate of the source node S is S (x s , y s , z s ). Therefore, the distance SA between the nodes S and A can be calculated by using equation (11) Figure 6. Overall working of AHHC-VBF.…”

Section: Finding Cpfns In Ahhc-vbfmentioning

confidence: 99%

“…Next, we find the CPFNs of the node which are present in the RTD. Consider node A, we have a horizontal distance P from SG, that is, from the virtual vector to node A, and the distance between nodes S and A using equation (11). Therefore, we can find the angle f 1 of the node A made with the virtual vector SG using equation (12) Sin…”

Section: Finding Cpfns In Ahhc-vbfmentioning

confidence: 99%

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Adaptive hop-by-hop cone vector-based forwarding protocol for underwater wireless sensor networks

Khan

Islam

Ismail

et al. 2020

International Journal of Distributed Sensor Networks

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In the recent past, a significant increase has been observed in the use of underwater wireless sensor networks for aquatic applications. However, underwater wireless sensor networks face several challenges including large propagation delays, high mobility, limited bandwidth, three-dimensional deployments, expensive manufacturing, and energy constraints. It is crucial for underwater wireless sensor networks to mitigate all these limitations primarily caused by the harsh underwater environment. To address some of the pertinent challenges, adaptive hop-by-hop cone vector-based forwarding routing protocol is proposed in this article which is based on the adaptive hop-by-hop vector-based forwarding. The novelty of adaptive hop-by-hop cone vector-based forwarding includes increasing the transmission reliability in sparse sensor regions by changing the base angle of the cone according to the network structure. The number of duplicate packets and end-to-end delay is also reduced because of the reduced base angle and a smart selection criterion for the potential forwarder node. The proposed routing protocol adaptively tunes the height and opening of the cone based on the network structure to effectively improve the performance of the network. Conclusively, this approach significantly reduces energy tax, end-to-end delay, and packet delivery ratio.

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“…The energy consumption among clusters mainly caused by the amount of data transmitted. The algorithm adjusted the cluster size according to the load that the cluster head forwarding data, so that the energy consumption of the cluster heads are close to each other and the energy consumption of the entire network is balanced [18][19][20] .…”

Section: Introduction mentioning

confidence: 99%

Non-uniform clustering routing protocol of wheat farmland based on effective energy consumption

Miao¹,

Zhao²,

Wu³

2021

International Journal of Agricultural and Biological Engineering

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Wireless sensor network (WSN) can achieve real-time data collection and transmission of environment, soil, meteorology, crop physiology and other information in agriculture. The data provided by WSN could be used for decision making and management, which is very important in precision agriculture. Wheat farmland wireless sensor network has the characteristics of wide coverage area, long planting period, inconvenient energy supply, and serious impact of crop environment on wireless signal transmission. Routing protocol is an important method to achieve long-term WSN monitoring by selecting an appropriate path with low energy consumption for data transmission. According to the phenomenon of uneven environment and channel parameters caused by intensive crop growth in farmland, a non-uniform clustering routing protocol based on effective energy consumption (UCEEC) was proposed in this work. The method combined with the characteristics of multi-path fading of farmland environment signals. The idea of image segmentation was introduced. Nodes with high similarity were divided into a cluster area by the dissimilarity between nodes in order to improve the intracluster communication performance. Meanwhile, a multi-hop path selection method between cluster-heads based on the estimation of two-hop effective energy consumption is designed. The energy consumption cost factor is calculated by the effective energy consumption and the average energy consumption within the cluster to achieve the minimum and balance of the overall energy consumption of the network. Simulation results show that, compared with the existing Maximum Residual Energy Based Routing (MREBR) protocol, minimum Energy Consumption Based Routing (MEC) routing protocols, UCEEC improves the energy balance effect between nodes, prolongs the network life cycle, and realizes efficient energy utilization of wireless sensor network data collection in the complex environment of wheat field.

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Reliable Path Selection and Opportunistic Routing Protocol for Underwater Wireless Sensor Networks

Cited by 43 publications

References 27 publications

Opportunistic routing metrics: A timely one-stop tutorial survey

Opportunistic routing metrics: A timely one-stop tutorial survey

Adaptive hop-by-hop cone vector-based forwarding protocol for underwater wireless sensor networks

Non-uniform clustering routing protocol of wheat farmland based on effective energy consumption

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