Comparison of Lossless Data Compression Techniques in Low-Cost Low-Power (LCLP) IoT Systems

Hanumanthaiah, Aravind; Gopinath, Athira; Arun, C. Joe; Hariharan, Balaji; Murugan, Ravisankar

doi:10.1109/ised48680.2019.9096229

Cited by 20 publications

(9 citation statements)

References 3 publications

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“…Table 1 shows the aggregated temperature data, which forms a data set that exhibits similarity over time and space, because the sensors are deployed in a linear array to measure near-surface temperature gradients, and measurements are repeated regularly. While LPWAN payloads are often transmitted with lossy compression [29] or no compression at all (e.g., CayenneLPP [12]), some studies have investigated lossless data compression in LPWAN networks [13,30]. Dictionary based compression techniques (e.g., Huffman encoding) can be a solution for efficient lossless compression, but lost packets can impact decoding in the long term and the exchange of dictionaries would cause prohibitive overhead for our monitoring system.…”

Section: Use Case 1: Thermal Sensor Arraysmentioning

confidence: 99%

TDD LoRa and Delta Encoding in Low-Power Networks of Environmental Sensor Arrays for Temperature and Deformation Monitoring

Wielandt

Uhlemann

Fiolleau

et al. 2023

J Sign Process Syst

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Densely distributed sensor networks can revolutionize environmental observations by providing real-time data with an unprecedented spatiotemporal resolution. However, field deployments often pose unique challenges in terms of power provisions and wireless connectivity. We present a framework for wirelessly connected distributed sensor arrays for near-surface temperature and/or deformation monitoring. Our research focuses on a novel time division duplex implementation of the LoRa protocol, enabling battery powered base stations and avoiding collisions within the network. In order to minimize transmissions and improve battery life throughout the network, we propose a dedicated delta encoding algorithm that utilizes the spatial and temporal similarity in the acquired data sets. We implemented the developed technologies in a AA battery powered hardware platform that can be used as a wireless data logger or base station, and we conducted an assessment of the power consumption. Without data compression, the projected battery life for a data logger is 4.74 years, and a wireless base stations can last several weeks or months depending on the amount of network traffic. The delta encoding algorithm can further improve this battery life with a factor of up to 3.50. Our results demonstrate the viability of the proposed methods for low-power environmental wireless sensor networks.

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Section: Use Case 1: Thermal Sensor Arraysmentioning

confidence: 99%

TDD LoRa and Delta Encoding in Low-Power Networks of Environmental Sensor Arrays for Temperature and Deformation Monitoring

Wielandt

Uhlemann

Fiolleau

et al. 2023

J Sign Process Syst

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“…Por fim, os autores em [29] propuseram a implementac ¸ão de Run Length Encoding (RLE) e técnicas de compressão sem perdas Delta, que precisam de um menor tempo para compressão de dados. Os resultados apresentados mostram que a combinac ¸ão da técnica Delta e RLE alcanc ¸a melhores taxas de compressão do que apenas a técnica de compressão Delta.…”

Section: Trabalhos Relacionadosunclassified

Um Mecanismo de Controle de Congestionamento Disparado por Eventos Através de Filtragem Local de Dados para RSSFs Cluster-Tree

Ribeiro

Leão

Rabelo

et al. 2022

Anais Estendidos Do XII Simpósio Brasileiro De Engenharia De Sistemas Computacionais (SBESC Estendido 2022)

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A Internet das Coisas (IoT - Internet of Things) é uma inovação tecnológica que tem se tornado bastante atrativa no âmbito comercial, industrial e residencial. Por conta disso, houve uma expansão no desenvolvimento de mecanismos de comunicação eficientes e desenvolvimento de aplicações em Redes de Sensores Sem Fio (RSSF). O conjunto de normas IEEE 802.15.4 e ZigBee forma uma pilha adequada de protocolos para implantação de RSSFs. Esse conjunto de normas especifica uma topologia especial peer-to-peer chamada cluster-tree, apontada como uma das topologias mais apropriadas para implantação de RSSFs de larga escala. Entretanto, a ocorrência de congestionamentos evidencia-se como um dos maiores desafios de redes cluster-tree, tornando necessário o desenvolvimento de mecanismos eficientes para mitigar este problema, sem comprometer a integridade dos dados. Este artigo propõe a utilização de um mecanismo local de filtragem de dados eficiente como forma de evitar ou postergar congestionamentos para RSSFs cluster-tree, evitando reconfigurações de rede e melhorando métricas importantes, tais como atrasos de comunicação fim-a-fim e perda de pacotes. Os resultados mostram que a implementação de mecanismos de filtragem local nos nós sensores pode fornecer qualidade de serviço para o fluxo de monitoramento, evitando a execução de mecanismos de controle e reconfiguração de redes.

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“…In the combination of delta and RLE encoding approach [20], primarily the data samples are passed through the delta encoder and the delta encoded data samples are fed to the input RLE encoder [21]. The benefit of using combined algorithms is that the compression ratio can be effectively increased without any complex efforts.…”

Section: Delta and Run Length Encodingmentioning

confidence: 99%

Design and Implementation of Direct Memory Access & Compression in PSoC5LP

Gopinath

Arun

Hanumanthaiah

2021

Lecture Notes in Electrical Engineering

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A reliable streaming of sensor data is very critical for a disaster management application like forest fire detection and landslide early warning system. It becomes challenging especially when it is deployed in a remote location [1,2]. The size of the data has to be accounted when transmitted through a communication module, since the bandwidth of the module is fixed. Also, there can be data loss, when the CPU of the processor is allocated with several processing tasks on complex signal processing algorithms. This is because the microcontroller executes the code in the sequentially and ADC need to wait until the microcontroller reads the value from the output register of ADC. Since every data is very crucial in disaster management, we cannot afford to lose data. The selection of an embedded processor or a controller plays a significant role in designing an efficient system. Conventionally, general processors [3] are used in most of the applications due its low cost, ease of implementation, and availability. Some of the high-end processors has DMA features and can run at high speed.PSoC series is likewise an alternative that simplify large portion of novel preference which is further useful for researchers, designers, developers, and engineers to facilitate their works. It is designed in such a way that both hardware designing besides the product of software development is applicable. Some more com-

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Comparison of Lossless Data Compression Techniques in Low-Cost Low-Power (LCLP) IoT Systems

Cited by 20 publications

References 3 publications

TDD LoRa and Delta Encoding in Low-Power Networks of Environmental Sensor Arrays for Temperature and Deformation Monitoring

TDD LoRa and Delta Encoding in Low-Power Networks of Environmental Sensor Arrays for Temperature and Deformation Monitoring

Um Mecanismo de Controle de Congestionamento Disparado por Eventos Através de Filtragem Local de Dados para RSSFs Cluster-Tree

Design and Implementation of Direct Memory Access & Compression in PSoC5LP

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