Sub-GHz In-Body to Out-of-Body Communication Channel Modeling for Ruminant Animals for Smart Animal Agriculture
Sub-GHz In-Body to Out-of-Body Communication Channel Modeling for Ruminant Animals for Smart Animal Agriculture
复制标题
用于智能动物农业的反刍动物体内到体外通信信道建模
DOI:
10.1109/tbme.2022.3213262
复制
发表时间:
2022
影响因子:
4.6
通讯作者:
Sen, Shreyas
中科院分区:
文献类型:
--
作者:
Datta, Arunashish;Kaur, Upinder;Malacco, Victor;Nath, Mayukh;Chatterjee, Baibhab;Donkin, Shawn S.;Voyles, Richard M.;Sen, Shreyas
Sensors in and around the environment becoming ubiquitous has ushered in the age of smart animal agriculture which has the potential to greatly improve animal health and productivity. The data gathered from sensors dwelling in animal agriculture settings have made farms a part of the IoT space leading to active research in developing efficient communication methodologies for farm networks. This study focuses on the first hop of farm networks where data from inside the body of animals is communicated to a node dwelling outside the body. Novel experimental methods are used to calculate the channel loss at sub-GHz frequencies (100–900 MHz) to characterize the in-body to out-of-body (IBOB) communication channel in large animals. A first-of-its-kind 3D bovine modeling is done with computer vision techniques for detailed morphological features of the animal body to perform Finite Element Method based Electromagnetic simulations. The results of the simulations are experimentally validated to build a complete channel modeling methodology for IBOB animal-body-communication. The 3D bovine model is made available publicly on GitHub. The results illustrate that an IBOB communication channel is realizable from the rumen to the collar of ruminants withpath loss at sub-GHz frequencies making communication feasible. The developed methodology has been illustrated for ruminants but can also be used for other IBOB studies. An efficient communication architecture can be formed using the channel modeling technique illustrated for IBOB communication in animals paving the way for the design and development of future smart animal agriculture systems.
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DOI:
--
发表时间:
2018
期刊:
International Symposium on Antennas and Propagation
影响因子:
--
作者:
Dominik Gottardi;Volker Wienstroer;R. Kronberger
通讯作者:
R. Kronberger
DOI:
--
发表时间:
2021
期刊:
Improving animal welfare: a practical approach
影响因子:
--
作者:
Upinder Kaur;R. Voyles;S. Donkin
通讯作者:
S. Donkin
DOI:
10.1109/embc46164.2021.9629743
发表时间:
2021
期刊:
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC
影响因子:
--
作者:
Datta, Arunashish;Kaur, Upinder;Malacco, Victor;Nath, Mayukh;Chatterjee, Baibhab;Donkin, Shawn S.;Voyles, Richard M.;Sen, Shreyas
通讯作者:
Sen, Shreyas
影响因子:
4.6
作者:
Sriram S;Avlani S;Ward MP;Sen S
通讯作者:
Sen S
DOI:
10.1109/tbme.2022.3176541
发表时间:
2020-11
期刊:
bioRxiv
影响因子:
--
作者:
Nirmoy Modak;Mayukh Nath;Baibhab Chatterjee;Shovan Maity;Shreyas Sen
通讯作者:
Nirmoy Modak;Mayukh Nath;Baibhab Chatterjee;Shovan Maity;Shreyas Sen