Deep learning techniques of losses in data transmitted in wireless sensor networks

Abstract

Wireless sensor network systems are frequently used today along with the rapidly developing technology. Wireless sensor networks, which form the basis of the Internet of Things, have a wide user base in the world. For example, wireless sensor networks are used in many areas from education to health, from military applications to home applications. It enables the data obtained from the sensors to be transferred between nodes with the help of end-to-end wireless protocols. In parallel with the increasing number of nodes in WSN, data traffic density also increases. Due to the limitations of the WSN network, lost packet rates also increase with increasing data traffic. In this study, a data set was created by examining the data transfers of different amounts of WSN nodes placed in different places. The effects of the number of sensors and the distance between them were obtained from the data set. In this study, a data set was created by collecting the data from the sensor nodes placed at 1500m x 1500m intervals in the ns-3 discrete event emulator program. Today, with the rapid development of technology, deep learning methods which are one of the artificial intelligence methods, are also used in WSN. In this study, the loss rate in the transferred data packets was tried to be estimated with the highest accuracy by using Deep Belief Network (DBN), Recurrent Neural Network (RNN) and Deep Neural Network (DNN) deep learning techniques over the obtained dataset. Of these three deep learning methods, DNN deep learning method was found to accurately estimate the loss rate in the transferred data packets with an accuracy rate of 88.50%.

Insights on the internet of things: past, present, and future directions

“…Deep learning is quite effective at dealing with such massive amounts of data and can generate highly accurate results. As a result, Internet of Things (IoT), big data analytics, and deep learning are all important to the growth of a high-tech society [22], [28], [74], [77], [89], [92], [93], [101], [103], [110], [114], [126], [149], [152], [155], [183], [188], [202], [232], [265], [318], [352].…”

“…The word "thing" refers to any natural or man-made object that can be given an internet protocol (IP) address and can send and receive data over a network, such as a person who has an implanted heart monitor, an animal on a farm that has a biochip transponder, a vehicle that has built-in sensors to alert the driver when the tire pressure is low, or any other similar thing [18]- [36]. IoT is being utilized more and more frequently by organizations across a wide variety of sectors to improve operational efficiencies, gain a deeper understanding of their clientele in order to deliver superior service, enhance decision-making capabilities, and add value to their operations [20], [25], [28], [36].…”