Computational Intelligence in Wireless Sensor Networks: A Survey
Missouri University of Science and Technology · University of Applied Sciences and Arts of Southern Switzerland
Abstract
Wireless sensor networks (WSNs) are networks of distributed autonomous devices that can sense or monitor physical or environmental conditions cooperatively. WSNs face many challenges, mainly caused by communication failures, storage and computational constraints and limited power supply. Paradigms of computational intelligence (CI) have been successfully used in recent years to address various challenges such as data aggregation and fusion, energy aware routing, task scheduling, security, optimal deployment and localization. CI provides adaptive mechanisms that exhibit intelligent behavior in complex and dynamic environments like WSNs. CI brings about flexibility, autonomous behavior, and robustness against…
Citation impact
- FWCI
- 54.02
- Percentile
- 100%
- References
- 139
Authors
3Topics & keywords
- Computer science
- Wireless sensor network
- Software deployment
- Distributed computing
- Data aggregator
- Robustness (evolution)
- Scheduling (production processes)
- Computer network