Energy-Efficient Area Coverage for Intruder Detection in Sensor Networks - Info and Reading Options
By Shibo He, Jiming Chen, Junkun Li and Youxian Sun
"Energy-Efficient Area Coverage for Intruder Detection in Sensor Networks" is published by Springer in Feb 21, 2014 and it has 97 pages.
“Energy-Efficient Area Coverage for Intruder Detection in Sensor Networks” Metadata:
- Title: ➤ Energy-Efficient Area Coverage for Intruder Detection in Sensor Networks
- Authors: Shibo HeJiming ChenJunkun LiYouxian Sun
- Number of Pages: 97
- Publisher: Springer
- Publish Date: Feb 21, 2014
“Energy-Efficient Area Coverage for Intruder Detection in Sensor Networks” Subjects and Themes:
- Subjects: ➤ Sensor networks - Computer security - Intrusion detection systems (Computer security) - TECHNOLOGY & ENGINEERING - Technical & Manufacturing Industries & Trades - Computer science - Computer Communication Networks - Telecommunication - Networks Communications Engineering
Edition Specifications:
- Format: paperback
Edition Identifiers:
- The Open Library ID: OL28740835M - OL21227449W
- Online Computer Library Center (OCLC) ID: 871177801
- ISBN-13: 9783319046471
- ISBN-10: 3319046470
- All ISBNs: 3319046470 - 9783319046471
AI-generated Review of “Energy-Efficient Area Coverage for Intruder Detection in Sensor Networks”:
"Energy-Efficient Area Coverage for Intruder Detection in Sensor Networks" Description:
The Open Library:
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.
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