@inproceedings{huanzhuo2022experimentenergy,

title = {Experimental Proof of the Energy Advantage of In-Network Intelligence},

author = {Huanzhuo Wu and Máté Tömösközi and Riccardo Bassoli and Jiajing Zhang and Frank H. P. Fitzek},

doi = {10.1109/ICECCME55909.2022.9988244},

year  = {2022},

date = {2022-11-16},

urldate = {2022-11-16},

booktitle = {International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)},

address = {Male, Maldives},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wu2206:You,

title = {You Only Hear Once: Lightweight In-Network AI Design for Multi-Object Anomaly Detection},

author = {Huanzhuo Wu and Jia He and Máté Tömösközi and Jiajing Zhang and Frank H. P. Fitzek},

doi = {10.1109/MELECON53508.2022.9842904},

year  = {2022},

date = {2022-06-13},

urldate = {2022-06-13},

booktitle = {2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) (MELECON 2022)},

address = {Palermo, Italy},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wu2201:Demonstration,

title = {Demonstration of In-Network Audio Processing for Low-Latency Anomaly Detection in Smart Factories},

author = {Huanzhuo Wu and Yunbin Shen and Máté Tömösközi and Giang T. Nguyen and Frank H. P. Fitzek},

doi = {10.1109/CCNC49033.2022.9700506},

year  = {2022},

date = {2022-01-08},

urldate = {2022-01-08},

booktitle = {2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) (CCNC 2022)},

address = {virtual},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tomo2201:Bitteiler,

title = {Bitteiler: Demonstration of Efficient and Private Massive Industrial IoT Communications},

author = {Máté Tömösközi and Maroua Taghouti and Huanzhuo Wu and Frank H. P. Fitzek},

doi = {10.1109/CCNC49033.2022.9700509},

year  = {2022},

date = {2022-01-08},

urldate = {2022-01-08},

booktitle = {2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) (CCNC 2022)},

address = {virtual},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wu21:InNetworkProcessingLowLatency,

title = {In-Network Processing for Low-Latency Industrial Anomaly Detection in Softwarized Networks},

author = {Huanzhuo Wu and Jia He and Máté Tömösközi and Zuo Xiang and Frank H. P. Fitzek},

year  = {2021},

date = {2021-12-07},

urldate = {2021-12-01},

booktitle = {2021 IEEE Global Communications Conference: Next-Generation Networking and Internet (Globecom2021 NGNI)},

address = {Madrid, Spain},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wu2106:Abstraction,

title = {Abstraction-based Multi-object Acoustic Anomaly Detection for Low-complexity Big Data Analysis},

author = {Huanzhuo Wu and Jia He and Máté Tömösközi and Frank H. P. Fitzek},

year  = {2021},

date = {2021-06-14},

booktitle = {WS17 IEEE ICC 2021 Workshop on Communication, Computing, and Networking in Cyber-Physical Systems (WS17 ICC'21 Workshop - CCN-CPS)},

address = {Montreal, Canada},

abstract = {In the deployments of cyber-physical systems, specifically predictive maintenance and Internet of Things applications, a staggering amount of data can be harvested, transmitted, and recorded. Although the collection of large data sets can be used for many solutions, its utilization is made difficult by the increased overhead on the transmission and limited processing capabilities of the underlying physical system. For such highly correlated and extensive data, this situation is usually described as data-rich, information-poor. We propose for the first time a novel one-stage method, called Information-Abstraction-Net (IA-Net), for the detection of abnormal events in multi-object anomaly detection scenarios by 

utilizing highly abstracted sensory information instead of the entire sampled data set to elevate the transmission and analysis needs of the system. We find that the computation complexity of IA-Net is reduced by half compared to competing solutions and the detection accuracy is increased by about 5-47%, as well.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tasd2021:LowLatency,

title = {Low-latency Sliding-window Recoding},

author = {Elif Tasdemir and Máté Tömösközi and Hani Salah and Frank H. P. Fitzek},

year  = {2021},

date = {2021-04-25},

booktitle = {2021 IEEE 93rd Vehicular Technology Conference: VTC2021-Spring},

address = {Helsinki, Finland},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wu2012:Y,

title = {Y-Net: A Dual Path Model for High Accuracy Blind Source Separation},

author = {Huanzhuo Wu and Jia He and Máté Tömösközi and Frank H. P. Fitzek},

year  = {2020},

date = {2020-01-01},

booktitle = {2020 IEEE Globecom Workshops (GC Wkshps): IEEE GLOBECOM 2020 Workshop on Future of Wireless Access for Industrial IoT (FutureIIoT) (GC 2020 Workshop - FIIoT)},

address = {Taipei, Taiwan},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tömösközi2019VTC,

title = {Reliable Base Proposal for Header Compression},

author = {Máté Tömösközi and Daniel E. Lucani Rötter and Frank H. P. Fitzek and Péter Ekler},

year  = {2019},

date = {2019-09-22},

booktitle = {IEEE VTC2019},

address = {Honolulu, USA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{TowardtheNextGenerationofFlowCompression,

title = {Toward the Next Generation of Flow Compression},

author = {Máté Tömösközi and Frank H. P. Fitzek and Péter Ekler},

year  = {2019},

date = {2019-06-09},

booktitle = {2019 IEEE 20th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM) – PhD Forum (IEEE WoWMoM 2019 PhD Forum)},

abstract = {Next generation use-cases of wireless networks require a great deal of 

flexibility in order to adopt to the constantly changing state of 

innovation and to accommodate future application requirements. Recent 

research has mostly focused on the integration and enhancement of both 

versions of Robust Header Compression, instead of advancing the core 

concept of the compression. In this paper we present some of our novel 

concepts for multi-path/multi-hop, unidirectional, adaptive, reliable and 

traffic agnostic flow compression, which can diversify the application of 

header compression and make it suitable for a multitude of fifth generation 

demands.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tomo1905:Unidirectional,

title = {Unidirectional Robust Header Compression for Reliable Low Latency Mesh Networks},

author = {Máté Tömösközi and Daniel E. Lucani Rötter and Frank H. P. Fitzek and Péter Ekler},

year  = {2019},

date = {2019-05-20},

booktitle = {2019 IEEE International Conference on Communications (ICC): Mobile and Wireless Networks Symposium (IEEE ICC'19 – MWN Symposium)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tomo1905:Initial,

title = {Initial Concept of an Oracle-Structured Stream Compression Protocol for Arbitrary Network Flows},

author = {Máté Tömösközi and Mingchuan Luo and Frank H. P. Fitzek and Péter Ekler},

year  = {2019},

date = {2019-05-01},

booktitle = {European Wireless 2019 (EW 2019)},

abstract = {Next generation use-cases of wireless networks require a great deal of 

flexibility in order to adopt to the constantly changing state of 

innovation and to accommodate future application requirements. Header 

compression has been an ever present solution since the advent of wireless 

networks and the most current version of it, Robust Header Compression 

(RoHC), has seen a widespread adoption in Long Term Evolution (LTE) 

cellular networks. 

Recent research has mostly focused on the integration and enhancement of 

RoHC, instead of advancing the core concept of the compression. In this 

paper we present for the first time a novel design that can tackle the 

compression of arbitrary packet streams regardless of the employed 

protocols and the transmitted data. We present our initial findings for an 

error-free scenario with various simulated and real-life packet streams and 

show that even with the absence of design time knowledge about the packet 

structures, one can compress a significant part of the streams, yielding 

compression gains for IP packets up to 90%, as an example.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Taghouti2019bb,

title = {Implementation of Network Coding with Recoding for Unequal-sized and Header Compressed Traffic},

author = {Maroua Taghouti and Máté Tömösközi and Malte Höweler and Daniel E. Lucani Rötter and Frank H. P. Fitzek and Ammar Bouallègue and Péter Ekler},

year  = {2019},

date = {2019-04-15},

booktitle = {IEEE Wireless Communications and Networking Conference},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tomo1805:Header,

title = {Header Compression in Opportunistic Routing},

author = {Máté Tömösközi and Ievgenii A. Tsokalo and Sreekrishna Pandi and Frank H. P. Fitzek and Péter Ekler},

year  = {2018},

date = {2018-01-01},

booktitle = {European Wireless 2018 (EW 2018)},

address = {Catania, Italy},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{TomoskoziVTC,

title = {Applying Robust Header Compression version 2 for UDP and RTP Broadcasting with Field Constraints},

author = {Máté Tömösközi and Patrick Seeling and Péter Ekler and Frank H. P. Fitzek},

year  = {2017},

date = {2017-06-04},

publisher = {2017 IEEE 85th Vehicular Technology Conference: VTC2017-Spring},

address = {Sydney},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}