A Min–Max Model Predictive Control Approach to Robust Power Management in Ambulatory Wireless Sensor Networks

2014 ◽  
Vol 8 (4) ◽  
pp. 1060-1073 ◽  
Author(s):  
Kritchai Witheephanich ◽  
Juan M. Escano ◽  
David Munoz de la Pena ◽  
Martin J. Hayes
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Model Predictive Control ◽  
Power Management ◽  
Predictive Control ◽  
Wireless Sensor ◽  
Control Approach

An Improved Clustering Algorithm Based on Coverage Area for Wireless Sensor Networks

2012 ◽  
Vol 542-543 ◽  
pp. 643-646
Author(s):  
Li Jun Chen
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Topology Control ◽  
Clustering Algorithm ◽  
Cluster Head ◽  
Wireless Sensor ◽  
Coverage Area ◽  
Control Approach ◽  
Cluster Heads ◽  
Network Scalability

Clustering is an effective topology control approach in wireless sensor networks, which can increase network scalability and lifetime. A clustering algorithm based on the total number of neighbor nodes is proposed to maximize the lifetime of the network. The larger amount of neighbor nodes, the more chance a node has to be selected as a cluster head. Therefore, it can ensure the minimum cluster heads in the whole network. By closing the communication parts of cluster head to avoid selecting as cluster head in next epoch, the energy of the whole system is consumed symmetrically. The simulations demonstrate the effectiveness of the algorithm.

Sign in / Sign up

Export Citation Format

Share Document