Space-Fluid Adaptive Sampling: A Field-Based, Self-organising Approach-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Space-Fluid Adaptive Sampling: A Field-Based, Self-organising Approach

Published:2022 Issue: Volume: Page:99-117
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Casadei Roberto^ORCID,Mariani Stefano^ORCID,Pianini Danilo^ORCID,Viroli Mirko^ORCID,Zambonelli Franco^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-08143-9_7

Reference32 articles.

1. Audrito, G., Beal, J., Damiani, F., Viroli, M.: Space-time universality of field calculus. In: Serugendo, G.D.M., Loreti, M. (eds.) Coordination Models and Languages - 20th IFIP WG 6.1 International Conference, COORDINATION 2018, Held as Part of the 13th International Federated Conference on Distributed Computing Techniques, DisCoTec 2018, Madrid, Spain, 18–21 June 2018. Proceedings. LNCS, vol. 10852, pp. 1–20. Springer (2018). https://doi.org/10.1007/978-3-319-92408-3_1

2. Beal, J., Pianini, D., Viroli, M.: Aggregate programming for the internet of things. IEEE Comput. 48(9), 22–30 (2015). https://doi.org/10.1109/MC.2015.261

3. Beal, J., Viroli, M., Pianini, D., Damiani, F.: Self-adaptation to device distribution in the internet of things. ACM Trans. Auton. Adapt. Syst. 12(3), 12:1–12:29 (2017). https://doi.org/10.1145/3105758

4. Lecture Notes in Computer Science;R Casadei,2019

5. Fasolo, E., Rossi, M., Widmer, J., Zorzi, M.: In-network aggregation techniques for wireless sensor networks: a survey. IEEE Wirel. Commun. 14(2), 70–87 (2007). https://doi.org/10.1109/MWC.2007.358967

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Space-Fluid Adaptive Sampling by Self-Organisation;Logical Methods in Computer Science;2023-12-18

2. Self-stabilising Priority-Based Multi-Leader Election and Network Partitioning;2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS);2022-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3