Energy-Efficient Area Coverage for Intruder Detection in Sensor Networks
Nonfiction, Computers, Networking & Communications, Hardware, Science & Nature, Technology, Telecommunications, General Computing
| Author: | Youxian Sun, Jiming Chen, Junkun Li, Shibo He | ISBN: | 9783319046488 |
| Publisher: | Springer International Publishing | Publication: | February 19, 2014 |
| Imprint: | Springer | Language: | English |
| Author: | Youxian Sun, Jiming Chen, Junkun Li, Shibo He |
| ISBN: | 9783319046488 |
| Publisher: | Springer International Publishing |
| Publication: | February 19, 2014 |
| Imprint: | Springer |
| Language: | English |
This Springer Brief presents recent research results on area coverage for intruder detection from an energy-efficient perspective. These results cover a variety of topics, including environmental surveillance and security monitoring. The authors also provide the background and range of applications for area coverage and elaborate on system models such as the formal definition of area coverage and sensing models. Several chapters focus on energy-efficient intruder detection and intruder trapping under the well-known binary sensing model, along with intruder trapping under the probabilistic sensing model. The brief illustrates efficient algorithms rotate the duty of each sensor to prolong the network lifetime and ensure intruder trapping performance. The brief concludes with future directions of the field. Designed for researchers and professionals working with wireless sensor networks, the brief also provides a wide range of applications which are also valuable for advanced-level students interested in efficiency and networking.
This Springer Brief presents recent research results on area coverage for intruder detection from an energy-efficient perspective. These results cover a variety of topics, including environmental surveillance and security monitoring. The authors also provide the background and range of applications for area coverage and elaborate on system models such as the formal definition of area coverage and sensing models. Several chapters focus on energy-efficient intruder detection and intruder trapping under the well-known binary sensing model, along with intruder trapping under the probabilistic sensing model. The brief illustrates efficient algorithms rotate the duty of each sensor to prolong the network lifetime and ensure intruder trapping performance. The brief concludes with future directions of the field. Designed for researchers and professionals working with wireless sensor networks, the brief also provides a wide range of applications which are also valuable for advanced-level students interested in efficiency and networking.
