Chronological Harris hawks‐based deep LSTM classifier in wireless sensor network for aqua status prediction

Abstract

Aquaculture becomes very popular in economic where aquatic organisms, like fishes and prawns, are mainly dependent on the quality of water in aquaculture pond. Also, the water quality constraints, which include turbidity, carbon dioxide, temperature, pH level, dissolved oxygen and phosphorus, are considered for achieving better performance. Hence, this paper presents an approach for aqua status prediction based on Deep Long Short‐Term Memory (Deep LSTM) classifier. The sensor nodes are placed in the aqua pond for measuring the parameters of water quality, and then the cell network transformation is done using the Voronoi partition. After that, the Cluster Head (CH) selection is carried out using Piecewise Fuzzy C‐means clustering (piFCM). Once the clusters are selected, the Chronological Harris Hawks (Chronological HH) optimization algorithm is introduced for optimal sink placement where the constraints for enabling the optimal sink placement are the distance and energy of the nodes. Finally, the aqua status is predicted using Deep LSTM. The performance of the Chronological HH‐based Deep LSTM is computed in terms of accuracy, energy and the number of dead nodes. The proposed Chronological HH‐based Deep LSTM outperformed other methods with maximal accuracy of 92.65%, maximal energy of 0.976 and the minimal dead nodes of 32.

Smart Bandwidth Prediction, Power Management and Adaptive Network Coding for WSN

“…When the amount of information to be transmitted grows beyond a certain threshold, network coding is used. [20]. Using encoding, the packets are constructed and sent as a concatenation of the actual packets.…”

“…The critical and adequate conditions under which system coding is performed should be expressed to uncover ways with possible coding chances. Unless the preceding condition is met when the flows 𝑑 𝑓1 and 𝑑 𝑓2 overlay at node 𝑒 is network coding possible [20]. Due to the possibility of distinct flows interfering with each other, the issue of network coding collision has arisen.…”