Title :
A Method for Searching the Centroid of a 3D Cluster Based on RSSI
Author :
Weike, Chen ; Heng, Shou ; Wenfeng, Li
Author_Institution :
Sch. of Mech. Eng., Hunan Univ. of Tech., Zhuzhou, China
Abstract :
In this paper, we developed an algorithm, TCCSA (Three-dimension Cluster Centroid Searching Algorithm) based on RSSI (received signal strength indicator). A theorem was suggested and rigorous mathematical proof was given. TCCSA finds the node which is nearest to the centroid of a cluster by using the theorem to reveal hidden information while nodes in a cluster communicate with each other. In the simulation, the relationship between the location error of TCCSA and the density of nodes, Gaussian random variable which is the disturbance from environment are been studied. TCCSA can be applied to modifying the clustering of wireless sensor networks and the shape control of robot team.
Keywords :
Gaussian processes; pattern clustering; search problems; wireless sensor networks; 3D cluster centroid searching algorithm; Gaussian random variable; RSSI; TCCSA; received signal strength indicator; three-dimension cluster centroid searching algorithm; wireless sensor networks; Clustering algorithms; Educational institutions; Random variables; Robot sensing systems; Routing; Wireless sensor networks; Cluster; RSSI; Wireless Sensor Networks; centroid;
Conference_Titel :
Trust, Security and Privacy in Computing and Communications (TrustCom), 2011 IEEE 10th International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4577-2135-9
DOI :
10.1109/TrustCom.2011.229
