H
Heikki Karvonen
Researcher at University of Oulu
Publications - 38
Citations - 616
Heikki Karvonen is an academic researcher from University of Oulu. The author has contributed to research in topics: Efficient energy use & Wireless sensor network. The author has an hindex of 13, co-authored 38 publications receiving 537 citations.
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Journal ArticleDOI
Energy Optimization in Multihop Wireless Embedded and Sensor Networks
TL;DR: The results show that always using a simple multihop message relay strategy is not always the best procedure, and it is also important to maximize the lifetime of the entire network, that is, maintain full network connectivity for as long as possible.
Proceedings ArticleDOI
Coding for energy efficient wireless embedded networks
TL;DR: The numerical results obtained show that energy efficiencies of the codes used in a multihop routing scenario are strongly dependent on the channel conditions and on the number of hops used.
Posted Content
A 6G White Paper on Connectivity for Remote Areas
Harri Saarnisaari,Sudhir Dixit,Mohamed-Slim Alouini,Abdelaali Chaoub,Marco Giordani,Adrian Kliks,Marja Matinmikko-Blue,Nan Zhang,Anuj Agrawal,Mats Andersson,Vimal Bhatia,Cao Wei,Yunfei Chen,Wei Feng,Marjo Heikkila,Josep Miquel Jornet,Luciano Leonel Mendes,Heikki Karvonen,Brejesh Lall,Matti Latva-aho,Xiangling Li,Kalle Lahetkangas,Moshe T. Masonta,Alok Pandey,Pekka Pirinen,Khaled M. Rabie,Tlou Ramoroka,Hanna Saarela,Amit Singhal,Tian Kaibo,Justin Wang,Zhang Chenchen,Yang Zhen,Haibo Zhou +33 more
TL;DR: This white paper first provides a generic discussion, shows some facts and discusses targets set in international bodies related to rural and remote connectivity and digital divide, and digs into technical details, i.e., into a solutions space.
Journal ArticleDOI
Wireless Communications for the Hospital of the Future: Requirements, Challenges and Solutions
TL;DR: A flexible hybrid optical-radio wireless network is proposed to provide efficient, high-performance wireless connectivity for the HoF to fulfil the stringent requirements of future healthcare scenarios, such as enhanced performance, security, safety, privacy, and spectrum usage.
Coding for energy efficient multihop wireless sensor networks
TL;DR: This paper studies the effect of coding on the energy consumption of multihop communications in Wireless Sensor Networks in these networks, where there are strict energy consumption constraints because the battery capacity at each node is limited.