The extreme issues related to energy consumption and connectivity within the network in
mobile wireless sensor network indulges so many researchers to find out the optimal …

Wireless sensor networks (WSNs) is associated with a new exemplification of a real-time
embedded system used for various applications that make the traditional infrastructure …

Software-defined networking (SDN) is an emerging architecture used in many applications
because of its flexible architecture. It is expected to become an essential enabler for the …

Wireless based sensor networks contain sensors for environment monitoring but have
restricted resources. Many clustering protocols are designed to prolong network lifetime but …

In wireless sensor networks, organizing nodes into clusters, finding routing paths and
maintaining the clusters are three critical factors that significantly impact the network lifetime …

Abstract Critical event reporting Wireless Sensor Networks (WSNs) applications need vital
requirements (extended network lifetime, reliability, real time responsiveness, and …

Reinforcement learning (RL) is an unsupervised learning technique used in many real-time
applications. The essence of RL is a decision-making problem. In RL, the agent constantly …

In recent years, Homomorphic Encryption (HE) has shown the possibility of securely running
a computation arbitrarily without performing the data decryption. Many authors have shown …

Wireless sensor network (WSN) seeks an unequal clustering approach to solve its energy
hole and HOTSPOT issue. Increasing the cluster number and decreasing the size of the …

Many researchers are drawn to mobile wireless sensor networks (WSN) and the Internet of
Things (IoT) because of the significant challenges of power consumption and network …