Cognitive Wireless Sensor Networks

• Published in: Intelligent Sensor Networks pp. 205 - 220
• Main Authors: Kumar, Sumit, Singhal, Deepti, Garimella, Rama Murthy
• Format: Book Chapter
• Language: English
• Published: CRC Press 2013
• Edition: 1
• Subjects: Distributed Spectrum Sensing; Sensor Networks; Genetic Algorithm; Sensor Nodes; Backup Channel; Energy Efficiency; CR; WSN; Distributed Kalman Filtering; Spectrum Sensing; Spectrum Sensing Techniques; Cognitive Engine; Spectrum Hole; Cluster Head; Intelligent Sensor Networks; Unlicensed Band; Wireless Sensor Nodes; Pu Detection; Power Consumption; CR Technology; WSN Node; CR Network; Dynamic Spectrum Allocation; CR. Sensor Network
• ISBN: 1138199745; 9781439892817; 1439892814; 9781138199743
• DOI: 10.1201/b14300-10

A wireless sensor network (WSN) consists of a set of sensor nodes that are deployed in a field and interconnected with a wireless communication network. Traditionally, almost all WSNs operate in unlicensed frequency bands, which are also used by wireless applications, such as Wi-Fi, Bluetooth WiMAX, and ZigBee. Sensing data without knowing the sensor location are meaningless; hence, localization deals with determining the locations of wireless devices in a WSN. Traditionally, wireless networks run with fixed spectrum assignment policy regulated by government agencies. A spectrum is assigned to service providers on a long-term basis for large geographical regions. While sensing the spectrum, the two major sources of getting degraded signals are multipath and shadowing for a given frequency. Sensing of backup channel has to be done regularly in order to make sure that the backup channel is readily available and clean.