
Research Article
Efficient Cluster Head Selection for Multimode Sensors in Wireless Sensor Network
@INPROCEEDINGS{10.1007/978-3-030-67514-1_8, author={Li Xu and Xia Luo and Huanzhu Wang}, title={Efficient Cluster Head Selection for Multimode Sensors in Wireless Sensor Network}, proceedings={IoT as a Service. 6th EAI International Conference, IoTaaS 2020, Xi’an, China, November 19--20, 2020, Proceedings}, proceedings_a={IOTAAS}, year={2021}, month={1}, keywords={Energy efficiency Cluster head selection Target tracking WSN}, doi={10.1007/978-3-030-67514-1_8} }
- Li Xu
Xia Luo
Huanzhu Wang
Year: 2021
Efficient Cluster Head Selection for Multimode Sensors in Wireless Sensor Network
IOTAAS
Springer
DOI: 10.1007/978-3-030-67514-1_8
Abstract
It needs simple and effective network organization to improve the network lifetime in building practical wireless sensor networks (WSNs). As we know, clustering is a classical network model and has been widely used in WSNs, where cluster head (CH) is a manager to control its members and collect sensed data from them. However, in the most of the existing work, the number of cluster heads is stabilized so that the distribution of cluster heads is not reasonable. In addition, they did not consider the dynamic cooperative aware storage and transmission of the sensed data. Therefore, we propose an efficient cluster head selected approach for multimode sensors. First, we select the optimal number of cluster heads based on the approximate distance from the nodes to the sink and the network side length. Second, the nodes that are deployed in the range of cluster head competition radius broadcast their ID, residual energy, location information and distance to the sink node. In the proposed approach, each node competes cluster head according to the number of adjacent nodes and the distance to the sink. Simulation and data analysis show that the proposed approach can efficiently store data and significantly improve the network lifetime.