2020
DOI: 10.1002/dac.4336
|View full text |Cite
|
Sign up to set email alerts
|

An energy‐efficient clustering and multipath routing for mobile wireless sensor network using game theory

Abstract: Most of the current generation sensor nodes of mobile wireless sensor network (MWSN) are designed to have heterogeneous mobility to adapt itself in the applied environment. Energy optimization in MWSN with heterogeneous mobility is very challenging task. In this paper, a heterogeneous game theoretical clustering algorithm called mobile clustering game theory-1 (MCGT-1) is proposed for energy optimization in a heterogeneous mobile sensor environment. Energy optimization is achieved through energy-efficient clus… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
14
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 30 publications
(14 citation statements)
references
References 22 publications
0
14
0
Order By: Relevance
“…This method is effective in energy efficiency and can effectively extend the network lifetime. In [29], a heterogeneous game theoretical clustering algorithm called mobile clustering game theory 1 was proposed for energy optimization in a heterogeneous mobile sensor environment. Energy optimization was achieved through energy-efficient cluster head election and multipath routing in the network.…”
Section: Related Workmentioning
confidence: 99%
“…This method is effective in energy efficiency and can effectively extend the network lifetime. In [29], a heterogeneous game theoretical clustering algorithm called mobile clustering game theory 1 was proposed for energy optimization in a heterogeneous mobile sensor environment. Energy optimization was achieved through energy-efficient cluster head election and multipath routing in the network.…”
Section: Related Workmentioning
confidence: 99%
“…The authors in [22], proposed a coalition game theory based hierarchical routing protocol to ensure uniform energy consumption across the network. The authors in [27], proposed an energy-efficient clustering in mobile wireless sensor network using game theory. Here, a heterogeneous clustering game model is developed, in which predicted remaining energy, distance to base station, distance between nodes, and mobility speed of nodes are considered to compute probability inorder to elect right CHs.…”
Section: Related Workmentioning
confidence: 99%
“…A recent study presented a detailed taxonomy of such existing works [27]. Among the aspects addressed in this study are the determination of the number of clusters [28] and the consideration of the devices' mobility [29]. While these aspects are essential, they are not covered in this paper which focuses more on the routing aspects through the design of an efficient selection of cluster heads.…”
Section: Related Workmentioning
confidence: 99%