Frequent monitoring of urban environment has now been regulated in most EU countries.
Due to the design and cost of high-quality sensors, the current approach using these …

During the past few years, we have seen a tremendous increase in various kinds of
anomalies in Wireless Sensor Network (WSN) communication. Recently, researchers have …

Feature selection is an important preprocessing technique used to determine the most
important features that contributes to the classification of a dataset, typically performed on …

Considering the contradiction between limited node resources and high detection costs in
mobile multimedia networks, an adaptive and lightweight abnormal node detection …

Various path or route solving algorithms have been widely researched for the last 30 years.
It has been applied in many different robotic systems such as bomb sniffing robots, path …

Wireless sensor networks (WSNs), as a collection of sensing nodes with limited processing,
limited energy reserve and radio communication capabilities, are widely implemented in …

Adaptive systems (ASs) and context-aware systems (CASs) are able to automatically modify
themselves in response to changes in their environment. Fault tolerance techniques are …

Body Sensor Networks (BSNs) have been used to provide continuous remote health
monitoring and analysis of physiological parameter of patient. These devices can be …

Inter-communication between nodes in Body Sensor Networks can be interrupted by body
movement. Body parts can reflect and absorb radio frequencies or block the radio signal that …

For the WSNs lifetime optimization, the non-disjoint set covers (NDSC) based coverage
control approach has brought out a better performance. In addition, it yields a promising …