Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Arindam Debnath"'
Autor:
Mili Dhar, Habila Basumatary, Arindam Debnath, Bidyut K. Bhattacharyya, Mrinal Kanti Debbarma
Publikováno v:
IETE Journal of Research. 69:2193-2206
VANET (Vehicular Ad- hoc Network) is becoming a part of a smart city in this communicating world. The major issue is frequent “Link Breakage Problem” between Source vehicle and Forwarding Vehicles ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fec878e980e9534723781ba15adc89c
https://doi.org/10.1080/03772063.2021.1886879
https://doi.org/10.1080/03772063.2021.1886879
Autor:
Bidyut K. Bhattacharyya, Arindam Debnath, Mili Dhar, Habila Basumatary, Mrinal Kanti Debbarma
Publikováno v:
Computing. 103:1391-1415
Vehicular ad hoc network usually operates in various challenging situations like frequent topology changes, high vehicular mobility and the wide range of communication networks. Due to this it is very hard to maintain a higher data rate and also to a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e34530680bcc0fffa85de58b152b9a83
https://doi.org/10.1007/s00607-020-00890-x
https://doi.org/10.1007/s00607-020-00890-x
Publikováno v:
Wireless Personal Communications. 118:161-183
The wireless sensor network (WSN) is always known for its limited-energy issues and finding a good solution for energy minimization in WSNs is still a concern for researchers. Implementing mobility to the sink node is used widely for energy conservat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e03335500b281fa6facfb35a7a376b8e
https://doi.org/10.1007/s11277-020-08007-5
https://doi.org/10.1007/s11277-020-08007-5
Publikováno v:
The Journal of Supercomputing. 77:3727-3751
A routing protocol called ‘Centroid-Based Routing (CBR)’ is proposed to optimize the total system energy for a given wireless sensor network. We have designed the CBR protocol to optimize the battery life of the sensor nodes, by using a mobile Si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4defb3a06f2e83983d59b652df5d6a76
https://doi.org/10.1007/s11227-020-03414-8
https://doi.org/10.1007/s11227-020-03414-8
Publikováno v:
Transactions on Emerging Telecommunications Technologies. 33
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9729df557beb7d6294ae6a82f5826fa
https://doi.org/10.1002/ett.4440
https://doi.org/10.1002/ett.4440
Autor:
Shun Li Shang, Hui Sun, Shanshank Priya, Shuang Lin, Allison M. Beese, Zi Kui Liu, Wenjie Li, Adam M. Krajewski, Wesley F. Reinhart, Marcia Ahn, Jogender Singh, Arindam Debnath
Generative deep learning is powering a wave of new innovations in materials design. In this article, we discuss the basic operating principles of these methods and their advantages over rational design through the lens of a case study on refractory h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::527df515c8a0ba2d36d78edb7e4414b8
http://arxiv.org/abs/2108.12019
http://arxiv.org/abs/2108.12019
Publikováno v:
Journal of Systems Architecture. 118:102225
With the advent of new technologies in both hardware and software, we are in the need of a new type of application that requires huge computation power and minimal delay. Applications such as face recognition, augmented reality, virtual reality, auto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::886c11399517b80044c91c2c9018071c
https://doi.org/10.1016/j.sysarc.2021.102225
https://doi.org/10.1016/j.sysarc.2021.102225
Autor:
Arindam Debnath, Mrinal Kanti Debbarma
Publikováno v:
International Journal of Networking and Virtual Organisations. 20:184
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6804de2f1a396eda4ac3ddd1366aee8
https://doi.org/10.1504/ijnvo.2019.097644
https://doi.org/10.1504/ijnvo.2019.097644
Autor:
Mrinal Kanti Debbarma, Arindam Debnath
Publikováno v:
International Journal of Networking and Virtual Organisations. 20:1
A wireless sensor network (WSN) consists of low power, low cost, limited memory and small in size sensor nodes, organise them in a cooperative network and perform three basic operations - sensing data from environment, computation, and data routing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd08425c26ca1ac44b2a4d0a77ca53c6
https://doi.org/10.1504/ijnvo.2019.10011635
https://doi.org/10.1504/ijnvo.2019.10011635