{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T10:17:50Z","timestamp":1777371470870,"version":"3.51.4"},"reference-count":18,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2020,12,28]],"date-time":"2020-12-28T00:00:00Z","timestamp":1609113600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004281","name":"Narodowe Centrum Nauki","doi-asserted-by":"publisher","award":["2016\/23\/B\/ST7\/03937"],"award-info":[{"award-number":["2016\/23\/B\/ST7\/03937"]}],"id":[{"id":"10.13039\/501100004281","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The development of wireless networks can be characterized by both the increased number of deployed network nodes as well as their greater heterogeneity. As a consequence, the distance between the neighboring nodes decreases significantly, the density of such a wireless network is very high, and it brings to the mind the analogy to the human brain and nervous system, where a highly simplified scheme of information delivery is applied. Motivated by this similarity, in this paper, we study the possibility of the application of various transmission profiles in order to optimize the overall energy consumption in such dense wireless networks. The transmission profile specifies the radio access and energy consumption of the wireless transceiver (network node), and is characterized by the tuple of parameters, e.g., the total transmit power or minimal required signal-to-noise ratio (SNR). In the considered multi-hop network, we assume that each node can be set to the most promising transmission profile to achieve some predefined goals, such as (sensor) network reliability or transmission energy efficiency. We have proposed the new graph-based routing algorithm in such a dense wireless network, where total power consumption of message delivery is minimized by multihop and multimode transmission. The theoretical definition of the prospective transmission schemes is supported by the analysis of the results of the simulation experiments.<\/jats:p>","DOI":"10.3390\/s21010134","type":"journal-article","created":{"date-parts":[[2020,12,28]],"date-time":"2020-12-28T10:33:56Z","timestamp":1609151636000},"page":"134","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Dynamic Transmit Profile Selection in Dense Wireless Networks"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3434-1917","authenticated-orcid":false,"given":"\u0141ukasz","family":"Ku\u0142acz","sequence":"first","affiliation":[{"name":"Institute of Radiocommunications, Poznan University of Technology, 61-131 Poznan, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6766-7836","authenticated-orcid":false,"given":"Adrian","family":"Kliks","sequence":"additional","affiliation":[{"name":"Institute of Radiocommunications, Poznan University of Technology, 61-131 Poznan, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9054-9416","authenticated-orcid":false,"given":"Pawe\u0142","family":"Kryszkiewicz","sequence":"additional","affiliation":[{"name":"Institute of Radiocommunications, Poznan University of Technology, 61-131 Poznan, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5979-8235","authenticated-orcid":false,"given":"Bartosz","family":"Bossy","sequence":"additional","affiliation":[{"name":"Institute of Radiocommunications, Poznan University of Technology, 61-131 Poznan, Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,12,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1109\/MCOM.2016.7588290","article-title":"Are we approaching the fundamental limits of wireless network densification?","volume":"54","author":"Andrews","year":"2016","journal-title":"IEEE Commun. Mag."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1109\/MCOM.2014.6736747","article-title":"Network densification: The dominant theme for wireless evolution into 5G","volume":"52","author":"Bhushan","year":"2014","journal-title":"IEEE Commun. Mag."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Shah, S., Kittipiyakul, S., Lim, Y., and Tan, Y. (2019). Collaborative Resource Management for Negotiable Multi-Operator Small Cell Networks. Sensors, 19.","DOI":"10.3390\/s19163550"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1936","DOI":"10.1109\/JSAC.2017.2720898","article-title":"Energy Efficient User Association and Power Allocation in Millimeter-Wave-Based Ultra Dense Networks With Energy Harvesting Base Stations","volume":"35","author":"Zhang","year":"2017","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"32588","DOI":"10.1109\/ACCESS.2018.2841989","article-title":"Joint Energy Management and Interference Coordination With Max-Min Fairness in Ultra-Dense HetNets","volume":"6","author":"Zheng","year":"2018","journal-title":"IEEE Access"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"728","DOI":"10.1109\/TCOMM.2016.2638906","article-title":"Interference-Aware Energy Efficiency Maximization in 5G Ultra-Dense Networks","volume":"65","author":"Yang","year":"2017","journal-title":"IEEE Trans. Commun."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Hamouda, E. (2020). An Optimal Flow Admission and Routing Control Policy for Resource Constrained Networks. Sensors, 20.","DOI":"10.3390\/s20226566"},{"key":"ref_8","unstructured":"Bullock, J., Boyle, J., and Wang, M.B. (2001). Physiology, the National Medical Series for Independent Study, Lippincott Williams & Wilkins."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"724","DOI":"10.1016\/j.cmet.2011.08.016","article-title":"Brain Energy Metabolism: Focus on Astrocyte-Neuron Metabolic Cooperation","volume":"14","author":"Belanger","year":"2011","journal-title":"Cell Metab."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Kryszkiewicz, P. (2020, January 23\u201327). Neuron-Inspired Communications for Energy Efficient Internet of Things Networks. Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), Austin, TX, USA.","DOI":"10.1109\/PerComWorkshops48775.2020.9156235"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Bossy, B., Kryszkiewicz, P., and Bogucka, H. (2020). Flexible, Brain-Inspired Communication in Massive Wireless Networks. Sensors, 20.","DOI":"10.3390\/s20061587"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Ku\u0142acz, L., Kliks, A., Bossy, B., and Kryszkiewicz, P. (2020, January 19\u201321). Transmission Profile Selection in Dense Wireless Networks. Proceedings of the 2020 Baltic URSI Symposium (URSI), Vilnius, Lithuania.","DOI":"10.23919\/URSI48707.2020.9254040"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"682","DOI":"10.1109\/TWC.2011.120810.100755","article-title":"Exact and Approximate Distributions of Instantaneous Power for Pulse-Shaped Single-Carrier Signals","volume":"10","author":"Ochiai","year":"2011","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Lu, Y., Xiong, K., Zhang, Y., Fan, P., and Zhong, Z. (2016, January 4\u20138). Energy-Efficient Resource Allocation in OFDM Relay Networks under Proportional Rate Constraints. Proceedings of the 2016 IEEE Global Communications Conference (GLOBECOM), Washington, DC, USA.","DOI":"10.1109\/GLOCOM.2016.7841808"},{"key":"ref_15","first-page":"1431","article-title":"Energy Efficiency with Proportional Rate Fairness in Multirelay OFDM Networks","volume":"34","author":"Xiong","year":"2016","journal-title":"IEEE JSAC"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Isheden, C., and Fettweis, G. (2011, January 28\u201331). Energy-Efficient Link Adaptation with Transmitter CSI. Proceedings of the 2011 IEEE Wireless Communications and Networking Conference, Cancun, Quintana Roo, Mexico.","DOI":"10.1109\/WCNC.2011.5779331"},{"key":"ref_17","unstructured":"Kryszkiewicz, P., and Kliks, A. (2017, January 17\u201319). Modeling of Power Consumption by Wireless Transceivers for System Level Simulations. Proceedings of the European Wireless 2017 23th European Wireless Conference, Dresden, Germany."},{"key":"ref_18","unstructured":"ETSI (2017). Evolved Universal Terrestrial Radio Access (E-UTRA), ETSI. Radio Frequency (RF) System Scenarios (3GPP TR 36.942 Version 10.2.0 Release 10), Annex C, Table C.1. TR 136 942 v.14.0.0."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/1\/134\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T10:46:53Z","timestamp":1760179613000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/1\/134"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,28]]},"references-count":18,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2021,1]]}},"alternative-id":["s21010134"],"URL":"https:\/\/doi.org\/10.3390\/s21010134","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,12,28]]}}}