Novel PEECR-based clustering routing approach

To solve the problem of unreasonable distribution of cluster heads in wireless sensor network (WSN) clustering routing methods, as well as to optimize data transferring between clusters, the novel predictive efficient energy consumption reclaim (PEECR)-based clustering routing approach for wireless...

Full description

Saved in:
Bibliographic Details
Published in:Soft computing (Berlin, Germany) Germany), 2017-12, Vol.21 (24), p.7313-7323
Main Authors: Zhang, De-gan, Niu, Hong-li, Liu, Si
Format: Article
Language:English
Subjects:
Artificial Intelligence
Clustering
Computational Intelligence
Control
Design optimization
Energy consumption
Engineering
Intelligence
Internet of Things
Mathematical Logic and Foundations
Mechatronics
Methodologies and Application
Methods
Nodes
Optimization
Residual energy
Roads
Robotics
Sensors
Taxonomy
Wireless communications
Wireless sensor networks
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:To solve the problem of unreasonable distribution of cluster heads in wireless sensor network (WSN) clustering routing methods, as well as to optimize data transferring between clusters, the novel predictive efficient energy consumption reclaim (PEECR)-based clustering routing approach for wireless sensor network has been presented in this paper. On how to select cluster head, a new energy-efficient clustering method based on degree, relative distance and residual energy of nodes is designed, which guarantees that distribution of cluster heads is uniform, scale of clusters is balanced, and nodes with high energy act as cluster head preferentially. By using swarm colony optimization idea, we design PEECR strategy for data transferring. A predictive data transferring strategy between clusters is designed. Taking expected energy consumption on a road, hops and propagation delay into account, definition of good ratio of a road is given, according to which we choose optimal road. In reception mode, energy consumption of transceivers from source node to sink node of wireless sensor network is similar to energy consumption from sink node to source node, and both can be minimized by our approach. Our experimental tests show that novel optimized clustering routing approach can improve quality of clusters and whole performance of network, reduce and balance energy consumption of the whole network, and prolong lifetime of WSN as well.
ISSN:1432-7643
1433-7479
DOI:10.1007/s00500-016-2270-3