2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS)最新文献_第8页

Efficient Localness Transformer for Smart Sensor-Based Energy Disaggregation 基于智能传感器能量分解的高效局部变压器

2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2022-03-29 DOI: 10.1109/DCOSS54816.2022.00035

Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang

{"title":"Efficient Localness Transformer for Smart Sensor-Based Energy Disaggregation","authors":"Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang","doi":"10.1109/DCOSS54816.2022.00035","DOIUrl":"https://doi.org/10.1109/DCOSS54816.2022.00035","url":null,"abstract":"Modern smart sensor-based energy management systems leverage non-intrusive load monitoring (NILM) to predict and optimize appliance load distribution in real-time. NILM, or energy disaggregation, refers to the decomposition of electricity usage conditioned on the aggregated power signals (i.e., smart sensor on the main channel). Based on real-time appliance power prediction using sensory technology, energy disaggregation has great potential to increase electricity efficiency and reduce energy expenditure. With the introduction of transformer models, NILM has achieved significant improvements in predicting device power readings. Nevertheless, transformers are less efficient due to O(l2) complexity w.r.t. sequence length l. Moreover, transformers can fail to capture local signal patterns in sequence-to-point settings due to the lack of inductive bias in local context. In this work, we propose an efficient localness transformer for non-intrusive load monitoring (ELTransformer). Specifically, we leverage normalization functions and switch the order of matrix multiplication to approximate self-attention and reduce computational complexity. Additionally, we introduce localness modeling with sparse local attention heads and relative position encodings to enhance the model capacity in extracting short-term local patterns. To the best of our knowledge, ELTransformer is the first NILM model that addresses computational complexity and localness modeling in NILM. With extensive experiments and quantitative analyses, we demonstrate the efficiency and effectiveness of the the proposed ELTransformer with considerable improvements compared to state-of-the-art baselines.","PeriodicalId":300416,"journal":{"name":"2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114253240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Heterogeneous Ground-Air Autonomous Vehicle Networking in Austere Environments: Practical Implementation of a Mesh Network in the DARPA Subterranean Challenge 恶劣环境下的异构地空自动驾驶汽车网络:DARPA地下挑战赛中网状网络的实际实现

2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2022-03-24 DOI: 10.1109/DCOSS54816.2022.00051

Harel Biggie, Steve McGuire

{"title":"Heterogeneous Ground-Air Autonomous Vehicle Networking in Austere Environments: Practical Implementation of a Mesh Network in the DARPA Subterranean Challenge","authors":"Harel Biggie, Steve McGuire","doi":"10.1109/DCOSS54816.2022.00051","DOIUrl":"https://doi.org/10.1109/DCOSS54816.2022.00051","url":null,"abstract":"Implementing a wireless mesh network in a real-life scenario requires a significant systems engineering effort to turn a network concept into a complete system. This paper presents an evaluation of a fielded system within the DARPA Subterranean (SubT) Challenge Final Event that contributed to a 3rd place finish. Our system included a team of air and ground robots, deployable mesh extender nodes, and a human operator base station. This paper presents a real-world evaluation of a stack optimized for air and ground robotic exploration in a RF-limited environment under practical system design limitations. Our highly customizable solution utilizes a minimum of non-free components with form factor options suited for UAV operations and provides insight into network operations at all levels. We present performance metrics based on our performance in the Final Event of the DARPA Subterranean Challenge, demonstrating the practical successes and limitations of our approach, as well as a set of lessons learned and suggestions for future improvements.","PeriodicalId":300416,"journal":{"name":"2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128022593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Active Connectivity Fundamentals for TSCH Networks of Mobile Robots 移动机器人TSCH网络的主动连接基础

2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2022-01-20 DOI: 10.1109/DCOSS54816.2022.00042

Charalampos Orfanidis, P. Pop, Xenofon Fafoutis

引用次数: 4

eAFH: Informed Exploration for Adaptive Frequency Hopping in Bluetooth Low Energy 低功耗蓝牙中自适应跳频的知情探索

2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2021-12-06 DOI: 10.1109/DCOSS54816.2022.00012

Valentin Poirot, O. Landsiedel

{"title":"eAFH: Informed Exploration for Adaptive Frequency Hopping in Bluetooth Low Energy","authors":"Valentin Poirot, O. Landsiedel","doi":"10.1109/DCOSS54816.2022.00012","DOIUrl":"https://doi.org/10.1109/DCOSS54816.2022.00012","url":null,"abstract":"With more than 4 billion devices produced in 2020, Bluetooth and Bluetooth Low Energy (BLE) have become the dominant solutions for short-range wireless communication in IoT. BLE mitigates interference via Adaptive Frequency Hopping (AFH), spreading communication over the entire spectrum. However, the ever-growing number of BLE devices and WiFi traffic in the already crowded 2.4 GHz band lead to situations where the quality of BLE connections dynamically changes with nearby wireless traffic, location, and time of day. These dynamic environments demand new approaches for channel management in AFH, by both dynamically excluding frequencies suffering from localized interference and adaptively re-including channels, thus providing sufficient channel diversity to survive the rise of new interference.We introduce eAFH, a new channel-management approach in BLE with a strong focus on efficient channel re-inclusion. eAFH introduces informed exploration as a driver for inclusion: using only past measurements, eAFH assesses which frequencies we are most likely to benefit from re-inclusion into the hopping sequence. As a result, eAFH adapts in dynamic scenarios where interference varies over time. We show that eAFH achieves 98-99.5% link-layer reliability in the presence of dynamic WiFi interference with 1% control overhead and 40% higher channel diversity than state-of-the-art approaches.","PeriodicalId":300416,"journal":{"name":"2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123905211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

UHD-DPDK Performance Analysis for Advanced Software Radio Communications 先进软件无线电通信UHD-DPDK性能分析

2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2020-11-12 DOI: 10.1109/DCOSS54816.2022.00076

Daniel Brennan, V. Marojevic

引用次数: 1