Wireless sensor networks (WSNs) have been considered as one of the fine research areas
in recent years because of vital role in numerous applications. To process the extracted data …

… is to classify different coverage techniques in WSNs into three main parts; coverage based
on classical deployment techniques, coverage based on meta-heuristic techniques, and …

… the batteries for these sensors [10]. Hence we would require load balancing and other
deploying techniques to improve its … Figure 6 depicts classification of deployment techniques. …

… and numerous schemes, algorithms, methods and … classification of wireless sensor networks
based on different dimensions, such as, types of sensors, deployment strategies, sensing …

… Therefore, we need a specific type of intrusion detection technique which can protect all
types of devices of such kind of communication environment. Henceforth, more deep …

… , and easy deployment. It comprises … the classification and emphasis on different algorithm
phases This study relies only on a few of the important and well-known clustering techniques. …

… deterministic sensor nodes deployment and random sensor nodes … sensing model (a detailed
sensing model classification is … are classified into three categories: Coverage deployment …

… In this paper, WSN applications are classified according to the nature of their use into six
main … In other-than-war operations all scales of WSNs and deployment methods are used [5]. …

Wireless sensor network (WSN) is one of the most promising technologies for some real-time
applications because of its size, cost-effective and easily deployable nature. Due to some …

… In this section, we discuss various challenges in Wireless Sensor Networks that are handled
by machine learning techniques. We have classified WSN challenges into 3 types. These …