基于能量感知传感器节点设计的哈夫曼源编码一次性密码算法

IF 3.8 3区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Sustainable Computing-Informatics & Systems Pub Date : 2024-10-28 DOI:10.1016/j.suscom.2024.101048
A. Saravanaselvan , B. Paramasivan
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引用次数: 0

摘要

最近,针对能源受限的传感器节点开发了基于安全的算法,以降低计算和通信能耗。对于任务关键型无线传感器网络(WSN)应用来说,从 WSN 节点持续、安全地收集数据是部署现场的一项重要任务。因此,本手稿提出了基于哈夫曼源编码的一次性焊盘加密算法(EA-SND-OTPCA-HSC)和基于能量感知的传感器节点设计(EA-SND-OTPCA-HSC)。在关键任务 WSN 中,传输前可对发射器和接收器之间的距离进行评级,以减少传感器节点的通信能耗。对于关键任务 WSN 应用而言,从 WSN 节点持续、安全地收集数据是部署现场的一项重要任务。采用哈夫曼源编码算法的周期性休眠/唤醒方案可在节点层面节省能量。然后,在每个传感器节点中采用一次性垫加密算法,将 vernam 密码加密技术应用于紧凑型有效载荷。通过分析一个传感器节点的有效载荷与能耗、不同距离下一个传感器节点的通信能耗、不同方法下一个传感器节点的能耗、吞吐量、延迟和抖动,对提出的技术进行了执行和功效评估。与现有的 EA-SND-Hyb-MG-CUF、EA-SND-PVEH 和 EA-SND-PIA 技术相比,建议的方法分别降低了 90.12 %、89.78 % 和 91.78 % 的延迟和 88.25 %、95.34 % 和 94.12 % 的能耗。
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An one-time pad cryptographic algorithm with Huffman Source Coding based energy aware sensor node design
Recently, the security-based algorithms for energy-constrained sensor nodes are being developed to consume less energy for computation as well as communication. For the mission critical wireless sensor network (WSN) applications, continuous and secure data collection from WSN nodes is an essential task on the deployed field. Therefore, in this manuscript, One-Time Pad Cryptographic Algorithm with Huffman Source Coding Based Energy Aware sensor node Design is proposed (EA-SND-OTPCA-HSC). Before transmission, the distance among transmitter and receiver is rated available in mission critical WSN for lessen communication energy consume of sensor node. For the mission critical WSN applications, continuous and secure data collection from WSN nodes is an essential task on the deployed field. The periodic sleep/wake up scheme with Huffman source coding algorithm is used to save energy at the node level. Then, one-time pad cryptographic algorithm in each sensor node, the vernam cipher encryption technique is applied to the compact payload. The proposed technique is executed and efficacy of proposed method is assessed using Payload Vs Energy consume for one sensor node, communication energy consume for one sensor node with different distances, energy consume for one sensor node under various methods, Throughput, delay and Jitter are analyzed. Then the proposed method provides 90.12 %, 89.78 % and 91.78 % lower delay and 88.25 %, 95.34 % and 94.12 % lesser energy consumption comparing to the existing EA-SND-Hyb-MG-CUF, EA-SND-PVEH and EA-SND-PIA techniques respectively.
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来源期刊
Sustainable Computing-Informatics & Systems
Sustainable Computing-Informatics & Systems COMPUTER SCIENCE, HARDWARE & ARCHITECTUREC-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
10.70
自引率
4.40%
发文量
142
期刊介绍: Sustainable computing is a rapidly expanding research area spanning the fields of computer science and engineering, electrical engineering as well as other engineering disciplines. The aim of Sustainable Computing: Informatics and Systems (SUSCOM) is to publish the myriad research findings related to energy-aware and thermal-aware management of computing resource. Equally important is a spectrum of related research issues such as applications of computing that can have ecological and societal impacts. SUSCOM publishes original and timely research papers and survey articles in current areas of power, energy, temperature, and environment related research areas of current importance to readers. SUSCOM has an editorial board comprising prominent researchers from around the world and selects competitively evaluated peer-reviewed papers.
期刊最新文献
Analysing the radiation reliability, performance and energy consumption of low-power SoC through heterogeneous parallelism Nearest data processing in GPU An optimized deep learning model for estimating load variation type in power quality disturbances An one-time pad cryptographic algorithm with Huffman Source Coding based energy aware sensor node design A mMSA-FOFPID controller for AGC of multi-area power system with multi-type generations
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