TY - GEN
T1 - On-demand deployment algorithm for a hybrid sensor network
AU - Shiu, Liang Cheng
AU - Lee, Chao Yang
AU - Song, Tian Wen
AU - Yang, Chu Sing
PY - 2008
Y1 - 2008
N2 - Sensor deployment is one of the most fundamental and important issues in wireless sensor networks. Most of the current researches are concentrated on deploying static sensors or mobile sensors to improve coverage. This paper proposes on-demand centralized deployment algorithms in a hybrid sensor network which consists of both static and mobile sensors. The key feature is that on-demand deploying process is started by an event-driven request. A mobile sensor will be selected to heal coverage hole, on account of the priority of the Hole and the distance between the mobile sensor and the Hole. According to selection mobile sensors strategy is preemptive or not, the algorithms can present the different advantages of reducing the moving distance or reducing the response time, respectively, i.e., it has a characteristic with adaptability. Simulation result shows that the proposed approach differs from previous methods in which average moving distance and network lifetime are both improved for deploying sensors.
AB - Sensor deployment is one of the most fundamental and important issues in wireless sensor networks. Most of the current researches are concentrated on deploying static sensors or mobile sensors to improve coverage. This paper proposes on-demand centralized deployment algorithms in a hybrid sensor network which consists of both static and mobile sensors. The key feature is that on-demand deploying process is started by an event-driven request. A mobile sensor will be selected to heal coverage hole, on account of the priority of the Hole and the distance between the mobile sensor and the Hole. According to selection mobile sensors strategy is preemptive or not, the algorithms can present the different advantages of reducing the moving distance or reducing the response time, respectively, i.e., it has a characteristic with adaptability. Simulation result shows that the proposed approach differs from previous methods in which average moving distance and network lifetime are both improved for deploying sensors.
UR - http://www.scopus.com/inward/record.url?scp=63149198890&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=63149198890&partnerID=8YFLogxK
U2 - 10.1109/EUC.2008.124
DO - 10.1109/EUC.2008.124
M3 - Conference contribution
AN - SCOPUS:63149198890
SN - 9780769534923
T3 - Proceedings of The 5th International Conference on Embedded and Ubiquitous Computing, EUC 2008
SP - 697
EP - 702
BT - Proceedings of The 5th International Conference on Embedded and Ubiquitous Computing, EUC 2008
T2 - 5th International Conference on Embedded and Ubiquitous Computing, EUC 2008
Y2 - 17 December 2008 through 20 December 2008
ER -