Dynamic error control scheme based on channel characteristics in wireless sensor networks

Patil, Mallanagouda; Biradar, Rajashekhar C.

doi:10.1109/rteict.2017.8256694

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…More specifically, a 16-bit CRC is used for error detection in ECP and ARQ with a 30 bits long acknowledgement packet. For the FEC and EPC, a Hamming (15,11) code and a 12-bit low-weight code with codeword size of 15 bits are assumed respectively, and for HEPC, the code distance D c is set to 3. The probability of transmitting a pulse for ARQ, ECP and FEC is 0.5, for EPC is 0.31 and for HEPC is 0.06.…”

Section: Simulations and Performance Analysismentioning

confidence: 99%

“…To design a proper error control mechanism for nanonetworks becomes stringent. The existing error control mechanisms for traditional wireless networks can be classified into three main approaches, i.e., Automatic Repeat reQuest (ARQ), Forward Error Correction (FEC) and Hybrid Automatic Repeat reQuest (HARQ) [11], which are described as follows [12]- [14]:…”

Section: Introductionmentioning

confidence: 99%

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ECP: A Probing-Based Error Control Strategy for THz-Based Nanonetworks With Energy Harvesting

Yao

Han

2019

IEEE Access

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Nanonetworks are comprised of the nano-sized communication devices that can perform simple tasks, such as computation, data storage, and actuation at the nanoscale. However, the error-prone wireless links as a result of severe path loss in the terahertz band (0.1-10.0 THz) and very limited energy storage capacity in nanodevices are challenging the communication in the nanonetworks. Therefore, efficient and effective error control protocols are necessary for the nanonetworks in the THz band. In this paper, first, a novel error control strategy with probing (ECP) mechanism for the nanonetworks powered by energy harvesting is proposed. In particular, each data packet will be transmitted only after the successful communication of one probing packet. Second, the energy state model by considering the energy harvestingconsumption process is presented based on the extended Markov chain approach. Moreover, a probabilistic analysis of the overall network traffic and multiuser interference is used by the proposed energy state model to capture the dynamic network behavior. Third, the impact of the different packets energy of consumption on a state transition and the state probability distribution of nanonodes based on the above-mentioned model is comprehensively investigated. Finally, the performance of the ECP mechanism and the other four different error control strategies, namely, Automatic Repeat reQuest (ARQ), Forward Error Correction (FEC), Error Prevention Codes (EPC) and a hybrid EPC, in terms of the end-to-end successful packet delivery probability, end-to-end packet delay, achievable throughput, and energy consumption are investigated and evaluated. The results show that the proposed ECP mechanism can maximize the end-to-end successful data packet delivery probability than the other four error control schemes, increase the achievable throughput compared with ARQ and EPC schemes, and outperform the ARQ and FEC schemes in terms of energy utilization. INDEX TERMS Nanonetworks, error control, energy harvesting, probing mechanism, Markov chain. The associate editor coordinating the review of this manuscript and approving it for publication was Petros Nicopolitidis. many unprecedented applications. For example, there are many direct applications of nanotechnology in the biomedical field (e.g., drug delivery systems and cancer detection), in the environmental field (e.g., plants monitoring systems and biodegradation) and in the military field (e.g., biological, chemical defenses and nano-functionalized equipments) [1], [3]. To realize these applications and guarantee their performance, the energy consumption, data processing and communication problems in the nanodevices are required to be considered comprehensively. Recently, THz band has been recommended as the frequency band of communication for nanodevices due to the 25616 2169-3536 2019 IEEE. Translations and content mining are permitted for academic research only.

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Section: Simulations and Performance Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

ECP: A Probing-Based Error Control Strategy for THz-Based Nanonetworks With Energy Harvesting

Yao

Han

2019

IEEE Access

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“…Therefore, as previously mentioned, FEC, ARQ schemes, or both are used. As FEC has a limited ability to correct errors, the authors in [47] propose a dynamic error control scheme based on link parameters such as BER and ambient noise in WSN. Through simulations, it is reported that throughput and retransmission probability are improved.…”

Section: Introductionmentioning

confidence: 99%

A System-Level Methodology for the Design of Reliable Low-Power Wireless Sensor Networks

Brini

Deslandes

Nabki

2019

Sensors

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Innovative Internet of Things (IoT) applications with strict performance and energy consumption requirements and where the agile collection of data is paramount are arising. Wireless sensor networks (WSNs) represent a promising solution as they can be easily deployed to sense, process, and forward data. The large number of Sensor Nodes (SNs) composing a WSN are expected to be autonomous, with a node’s lifetime dictated by the battery’s size. As the form factor of the SN is critical in various use cases, minimizing energy consumption while ensuring availability becomes a priority. Moreover, energy harvesting techniques are increasingly considered as a viable solution for building an entirely green SN and prolonging its lifetime. In the process of building a SN and in the absence of a clear and well-rounded methodology, the designer can easily make unfounded and suboptimal decisions about the right hardware components, their configuration, and reliable data communication techniques, such as automatic repeat request (ARQ) and forward error correction (FEC). In this paper, a methodology to design, configure, and deploy a reliable ultra-low power WSNs is proposed. A comprehensive energy model and a realistic path-loss (PL) model of the sensor node are also established. Through estimations and field measurements it is proven that, following the proposed methodology, the designer can thoroughly explore the design space and the make most favorable decisions when choosing commercial off-the-shelf (COTS) components, configuring the node, and deploying a reliable and energy-efficient WSN.

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Coding and Modulation for Terahertz

Jbari

Moussaoui

Chahboun

2022

Terahertz Wireless Communication Components and System Technologies

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Dynamic error control scheme based on channel characteristics in wireless sensor networks

Cited by 6 publications

References 9 publications

ECP: A Probing-Based Error Control Strategy for THz-Based Nanonetworks With Energy Harvesting

ECP: A Probing-Based Error Control Strategy for THz-Based Nanonetworks With Energy Harvesting

A System-Level Methodology for the Design of Reliable Low-Power Wireless Sensor Networks

Coding and Modulation for Terahertz

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