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DeepSense—Deep neural network framework to improve the network lifetime of IoT‐MANETs
Author(s) -
Chandrasekaran Suresh,
Kannan Srihari,
Subburathinam Karthik
Publication year - 2021
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.4650
Subject(s) - computer science , mobile ad hoc network , computer network , internet of things , network packet , wireless sensor network , distributed computing , computer security
Summary With the advancement of Internet of Things (IoT), the devices are allowed to interact with other networks like mobile ad hoc network (MANET). The MANET‐IoT systems often undergo energy balancing problem between the sensor nodes, whereas the MANETs operate on mobile sensor nodes. Hence, proper utilization of battery power is required to maintain the network connectivity during a multi‐hop transmission. In this paper, we propose a DeepSense IoT‐MANET framework that effectively routes the packets from the IoT nodes via mobile sensor nodes in MANETs. The routings between the MANETs are organized by DeepSense interconnected with deep neural network (DNN) learning methods. The performance of the DeepSense DNN method is evaluated against various network metrics to evaluate the efficacy of the model.