This paper examines the benefits of edge mining-data mining that takes place on the
wireless, battery-powered, and smart sensing devices that sit at the edge points of the …

Energy efficient clustering is a well accepted NP-hard optimization problem in Wireless
sensor networks (WSNs). Diverse paradigm of Computational intelligence (CI) including …

Energy-efficient clustering protocols are much sought specially for low-power, multi-
functional Wireless Sensor Networks (WSNs). With the application of Computational …

Energy-efficient clustering is a well known NP-hard optimization problem for complex and
dynamic Wireless sensor networks (WSNs) environment. Swarm intelligence (SI) based …

Today's adaptive software systems (i) are often highly configurable product lines, exhibiting
hundreds of potentially conflicting configuration options;(ii) are context dependent, forcing …

Efficient clustering is a well-documented NP-hard optimization problem in wireless sensor
networks (WSNs). Variety of computational intelligence techniques including evolutionary …

Wireless Sensor and Actuators Networks (WSANs) constitute one of the most challenging
technologies with tremendous socio-economic impact for the next decade. Functionally and …

It has been more than 30 years since the first research into Wireless Sensor and Actor
Networks appeared. However, WSANs are still not a ubiquitous technology due to several …

Mobile device localization in wireless sensor networks is a challenging task. It has already
been addressed when the WiFi propagation maps of the access points are modeled …

Recent technological advances have reduced the complexity and cost of develo** sensor
networks for remote environmental monitoring. However, the challenges of acquiring …