Software-Defined Architectures and Technologies for Underwater Wireless Sensor Networks: A Survey

Luo, Hanjiang; Wu, Kaishun; Ruby, Rukhsana; Liang, Yongquan; Guo, Zhongwen; Ni, Lionel M.

doi:10.1109/comst.2018.2842060

Cited by 112 publications

(45 citation statements)

References 189 publications

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“…At present, more and more research work focuses on the delay and energy consumption of MEC systems [16] [17] [18] [19]. Many researchers mainly consider the optimization of system delay and energy consumption from two aspects of service caching and task offloading [20] [21] [22].…”

Section: Related Workmentioning

confidence: 99%

Delay Optimization Strategy for Service Cache and Task Offloading in Three-Tier Architecture Mobile Edge Computing System

Zhang

2020

IEEE Access

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As more and more compute-intensive and delay-sensitive applications are deployed on smart mobile devices, mobile edge computing is considered an effective way to solve the limited computing ability of smart mobile devices (SMDs). At present, latency has become the most critical indicator of the quality of service (QoS), and more and more studies focus on this aspect. Unlike previous work, our work fully takes into account the limited storage and computing ability of edge servers. To effectively reduce the delay of SMDs and improve QoS, we propose a Delay Control Strategy Joint Service Caching and Task Offloading (DCS-OCTO) in a three-tier mobile edge computing (MEC) system consist of multiuser , multiedge server and remote cloud servers. Some of the key challenges include service heterogeneity, unknown system dynamics, spatial demand coupling, and decentralized coordination. In particular, a very compelling but rarely studied issue is the dynamic service caching in the three-tier MEC system. The DCS-OCTO strategy is proposed based on Lyapunov optimization and Gibbs sampling. It works online without requiring prior information and achieves provable near-optimal performance. Finally, simulation results show that the strategy effectively reduces the overall system delay while ensuring low energy consumption.

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Section: Related Workmentioning

confidence: 99%

Delay Optimization Strategy for Service Cache and Task Offloading in Three-Tier Architecture Mobile Edge Computing System

Zhang

2020

IEEE Access

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“…The tools included in SDR platforms allow for easy reconfiguration of transceiver devices to quickly implement standards and protocols. SDR solutions can be used to test wireless sensor networks [9], satellite communications [10], and many other applications. Currently, research on implementing different systems using SDR technology is being conducted.…”

Section: Softwarementioning

confidence: 99%

Testing different Channel Estimation Techniques in Real-Time Software Defined Radio Environment

Ponnaluru¹,

Satyanarayana²

2020

IJACSA

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In modern wireless communication to maximize spectral efficiency and to minimize the bit error rate OFDM (Orthogonal frequency-domain multiplexing) is used. OFDM is used broadly in networks using various protocols, including wireless vehicular environment IEEE 802.11p, IEEE 802.16d/e Wireless Metropolitan Area Networks, Long-Term Evolution 3GPP networks and IEEE 802.11a/g/n Wireless Local Area Networks. The main challenges involved when using OFDM for wireless communications are short channel-coherence bandwidth and the narrow coherence time, and both have a major effect on the reliability and latency of data packet communication. These properties increase the difficulty of channel equalization because the channel may change drastically over the period of a single packet. Spectral Temporal Averaging is an enhanced decisiondirected channel equalization technique that improves communication performance (as far as the frame delivery ratio (FDR) and throughput) in typical channel conditions. This paper reports tests of Spectral Temporal Averaging channel equalization in an IEEE 802.11a network, compared with other channel equalization techniques in terms of the FDR in a realtime environment. Herein, a software defined Radio (SDR) platform was used for estimating the channel. This proves that the system can provide over 90% of delivery ratio at 25 db of Signal to Noise Ratio (SNR) for various digital modulation techniques. For this purpose, an experimental setup consisting of software-defined radio, Universal Software Radio Peripheral (USRP) N210 along with wide bandwidth daughter board as hardware and GNU radio is used.

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“…Media access control (MAC) protocol is an important component of UASNs. The main function of underwater MAC protocol is to achieve the rational distribution of underwater acoustic channels, so that multiple underwater nodes can share the same channel without conflict, maximize the throughput of the network, save energy and make sure the fairness between nodes [8,9]. However, due to the properties of underwater acoustic channel, underwater MAC protocol faces such problems as large round trip delay, dynamic node moving, high energy consumption and high communication error rate.…”

Section: Introductionmentioning

confidence: 99%

DCN-MAC: A Dynamic Channel Negotiation MAC Mechanism for Underwater Acoustic Sensor Networks

Dong

Yang

2020

Sensors

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In the design of media access control (MAC) mechanism in underwater acoustic sensor networks (UASNs), due to the propagation characteristic of low-speed underwater acoustic signals, it is necessary to solve the spatial–temporal uncertainty problem. In order to avoid the multi-user access conflict in underwater networks, reduce the energy cost and improve the throughput and fairness across the network, a dynamic channel negotiation MAC mechanism based on spatial–temporal mapping of receiving queue (DCN-MAC) was proposed. DCN-MAC uses a duty cycle mechanism and implements a network management based on dynamic single node wake-up. The awakening node collects the request to send (RTS) and network status information in the network to solve the problem of space-temporal uncertainty and the highly dynamic needs of network access nodes and access services. The simulation results show that in different network scenarios, especially in those featuring high density and heavy network load, compared with the traditional underwater acoustic network MAC protocols, this protocol can effectively improve the network throughput and reduce the packet loss probability caused by multi-node conflict.

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Software-Defined Architectures and Technologies for Underwater Wireless Sensor Networks: A Survey

Cited by 112 publications

References 189 publications

Delay Optimization Strategy for Service Cache and Task Offloading in Three-Tier Architecture Mobile Edge Computing System

Delay Optimization Strategy for Service Cache and Task Offloading in Three-Tier Architecture Mobile Edge Computing System

Testing different Channel Estimation Techniques in Real-Time Software Defined Radio Environment

DCN-MAC: A Dynamic Channel Negotiation MAC Mechanism for Underwater Acoustic Sensor Networks

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