Artificial intelligence (AI) and machine learning (ML) techniques have huge potential to
efficiently manage the automated operation of the internet of things (IoT) nodes deployed in …

Wireless sensor network efficiently aggregates and transmits data in an internet of things
(IoT) environment. Machine Learning algorithms can minimize data transmission rates by …

A detection model of Internet of Things encrypted traffic based on edge intelligence is
proposed in the paper, which can reduce the communication times of distributed Internet of …

Wireless Body Area Network is an essential part of IOT (internet of thing) which benefits in
gathering data from the body surface area. The wireless body area network is the type of …

Recently, data privacy in wireless sensor networks (WSNs) has been paid increased
attention. The characteristics of WSNs determine that users' queries are mainly aggregation …

Reliable and trustful data aggregation is needed for most application in Wireless Sensor
Networks. In this paper, we propose a new approach to attain data and key privacy …

Wireless Sensor Networks (WSN) are resource constrained. Clustering and data
aggregations are used to reduce the energy consumption in the network by decreasing the …

Existing secure data aggregation protocols are weaker to eliminate data redundancy and
protect wireless sensor networks (WSNs). Only some existing approaches have solved this …

The use of wireless sensor networks has been increasing tremendously in the past decades
mainly because of its applications in military, medicine, under water survey and various …

To form a WSN properly is very important with the desired throughput and lifetime. Properly
forming of WSN with desired output is the key of successful operation of WSN. To main factor …