… Various security challenges in wireless sensor networks are analyzed and key issues that
… various network QoS mechanisms. A survey of QoS support in wireless sensor networks is …

… Wireless Sensor Networks (WSNs) have become a key technology for the IoT and …
computational intelligence techniques for WSN intrusion detection. A back propagation neural …

… sensors are deployed over a geographic area of interest, and communicate together forming
a wireless sensor network. … The sensors deployment need not be centralized, or with fixed …

… be one of the key methods for extending the network lifetime in WSNs. This section reviews
the computational intelligent techniques that are suitable for clustering wireless SNs in WSN. …

… Further, optimal deployment of sensors in an environment is also … computational intelligence
approaches can suitably address the challenges in both wired and wireless sensor networks…

… Hybrid and non hybrid algorithms optimizes the issues through CI paradigms, which are
presented in this research article relevant to Wireless Sensor Network. Our findings strongly …

… and advances in the various areas of computational intelligence—quickly and with a high …
of computational intelligence, as embedded in the fields of engineering, computer science, …

… As a natural extension of wireless sensor networks (WSNs), WSANs inherit from them a
variety of … Computational intelligence (CI) is an overarching term denoting a conglomerate of …

… of different computational intelligence based algorithms that reduce the data packet traffic
is presented. These methods are data reduction based on artificial neural networks (DR-ANN); …

… computing, evolutionary computing, reinforcement learning, artificial intelligence, swarm
intelligence, and their respective applications in wireless sensor networks and sensor-enabled …