TY - GEN
T1 - An Improving of Load Balancing in Clustering Algorithm for Wireless Sensor Network Based on Distance
AU - Chien, Chih Hsien
AU - Wang, Ming Shi
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - Wireless sensor network is composed of a number of tiny devices with energy constraints, sensing nodes. How the limited energy used effectively is a basic and important considered factor, and the design goal of most wireless sensing network protocols. Researches control the number of clusters in the network by dividing the sensing nodes into groups in advance. However, there is still the problem of unbalanced energy consumption between clusters, resulting in shortened network life. In this report, a way to improve the energy utilization of the network nodes by adjusting the cluster size while considers the load-balancing factor of the network was proposed. The main idea is to adjust the cluster size based on the distance between the groups and the base stations. We use the software simulation to observe its performance, the simulation results show that energy consumption does tend to balance the trend, although its effect is still not ideal, but can determine the size of the cluster on the impact of network power consumption.
AB - Wireless sensor network is composed of a number of tiny devices with energy constraints, sensing nodes. How the limited energy used effectively is a basic and important considered factor, and the design goal of most wireless sensing network protocols. Researches control the number of clusters in the network by dividing the sensing nodes into groups in advance. However, there is still the problem of unbalanced energy consumption between clusters, resulting in shortened network life. In this report, a way to improve the energy utilization of the network nodes by adjusting the cluster size while considers the load-balancing factor of the network was proposed. The main idea is to adjust the cluster size based on the distance between the groups and the base stations. We use the software simulation to observe its performance, the simulation results show that energy consumption does tend to balance the trend, although its effect is still not ideal, but can determine the size of the cluster on the impact of network power consumption.
UR - http://www.scopus.com/inward/record.url?scp=85050606698&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050606698&partnerID=8YFLogxK
U2 - 10.1109/ICMCCE.2017.32
DO - 10.1109/ICMCCE.2017.32
M3 - Conference contribution
AN - SCOPUS:85050606698
T3 - Proceedings - 2017 2nd International Conference on Mechanical, Control and Computer Engineering, ICMCCE 2017
SP - 165
EP - 168
BT - Proceedings - 2017 2nd International Conference on Mechanical, Control and Computer Engineering, ICMCCE 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Mechanical, Control and Computer Engineering, ICMCCE 2017
Y2 - 8 December 2017 through 10 December 2017
ER -