Research on the energy balance algorithm of WSN based on topology control

Topology control is a key energy-saving technology in the wireless-sensor networking. In this paper, networking-associated algorithm named local minimum spanning tree (LMST) employed while compromising on energy balance issues, leading to the short lifetime of the network, and proposes an energy bal...

Full description

Saved in:
Bibliographic Details
Published in:EURASIP journal on wireless communications and networking 2018-12, Vol.2018 (1), p.1-5, Article 292
Main Authors: Zhang, Weiping, He, Yudong, Wan, Ming, Kumar, Mohit, Qiu, Taorong
Format: Article
Language:English
Subjects:
Algorithms
CLC: TP918.91
Communications Engineering
Computer simulation
Emerging Intelligent Algorithms for Edge-of-Things Computing
Energy
Energy balance
Energy conservation
Energy utilization
Engineering
Graph theory
Information Systems Applications (incl.Internet)
Life cycle engineering
Network topologies
Networks
Signal,Image and Speech Processing
Topology control
Wireless sensor network
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:Topology control is a key energy-saving technology in the wireless-sensor networking. In this paper, networking-associated algorithm named local minimum spanning tree (LMST) employed while compromising on energy balance issues, leading to the short lifetime of the network, and proposes an energy balance algorithm. The algorithm fully investigates the energy utilization to link the data communication and the remaining energy of the communication node, to achieve the balanced energy, and to avoid the complexities associated with excessive consumption of energy when the intermediate node acts as a data forwarding task, thus extending the network life cycle. The simulated experimental outcomes showed a great potential of the proposed algorithm that can efficiently prolong the network lifetime and guarantee the long-term reliable operation of the network while ensuring other network performance indicators, such as throughput and delivery rate.
ISSN:1687-1499
1687-1472
1687-1499
DOI:10.1186/s13638-018-1302-3