• MONIKA RANI

Abstract: In wireless networks, every wireless node has a set of the available channels. A channel or medium is the band of RF used to exchange the information. Each of the wireless network nodes need to select one channel from its available channels to transmit signal information with its neighbor nodes. Channel selection is among the most important wireless communication elements in heterogeneous environments wherein, a user can experience improved communication quality by choosing a better channel. A smartphone should always be in search of best interface connectivity in a heterogeneous environments to provide flawless and fast communication continuously. This paper presents an emerging approach to artificial intelligence in Interface management in the WHN environment. In this paper, backpropagation through time, one of the artificial intelligence (AI), is used to select a channel from the channel pools based on target output and test data. The channel with high output at a particular time interval is chosen for further communication. For dynamic channel selection, BPTT is a fast method and the efficiency of this is better than traditional methods. Pseudocode is provided to clarify the algorithms.

Interface Management, Channel pool Management, Artificial neural network, Back Propagation Through tim

"Channel Selection with Channel Pool Management in Multi-Interface Networks Using BPTT ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 1, page no.d740-d746, January-2023, Available :http://www.jetir.org/papers/JETIR2301391.pdf

"Channel Selection with Channel Pool Management in Multi-Interface Networks Using BPTT ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 1, page no. ppd740-d746, January-2023, Available at : http://www.jetir.org/papers/JETIR2301391.pdf