Minimum Connected Dominating Set Algorithms for Ad Hoc Sensor Networks

To achieve effective communication in ad hoc sensor networks, researchers have been working on finding a minimum connected dominating set (MCDS) as a virtual backbone network in practice. Presently, many approximate algorithms have been proposed to construct MCDS, the best among which is adopting th...

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Main Authors: Xuemei Sun, Yongxin Yang, Maode Ma
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/19/8/1919
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spelling doaj-a70f99ad601e41529f0df810b4cf31652020-11-25T00:19:12ZengMDPI AGSensors1424-82202019-04-01198191910.3390/s19081919s19081919Minimum Connected Dominating Set Algorithms for Ad Hoc Sensor NetworksXuemei Sun0Yongxin Yang1Maode Ma2School of Computer Science and Technology, Tianjin Polytechnic University, Tianjin 300387, ChinaSchool of Computer Science and Technology, Tianjin Polytechnic University, Tianjin 300387, ChinaSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, SingaporeTo achieve effective communication in ad hoc sensor networks, researchers have been working on finding a minimum connected dominating set (MCDS) as a virtual backbone network in practice. Presently, many approximate algorithms have been proposed to construct MCDS, the best among which is adopting the two-stage idea, that is, to construct a maximum independent set (MIS) firstly and then realize the connectivity through the Steiner tree construction algorithm. For the first stage, this paper proposes an improved collaborative coverage algorithm for solving maximum independent set (IC-MIS), which expands the selection of the dominating point from two-hop neighbor to three-hop neighbor. The coverage efficiency has been improved under the condition of complete coverage. For the second stage, this paper respectively proposes an improved Kruskal–Steiner tree construction algorithm (IK–ST) and a maximum leaf nodes Steiner tree construction algorithm (ML-ST), both of which can make the result closer to the optimal solution. Finally, the simulation results show that the algorithm proposed in this paper is a great improvement over the previous algorithm in optimizing the scale of the connected dominating set (CDS).https://www.mdpi.com/1424-8220/19/8/1919ad hoc sensor networksmaximum independent set (MIS)minimum connected dominating set (MCDS)minimum spanning treeSteiner tree
collection DOAJ
language English
format Article
sources DOAJ
author Xuemei Sun
Yongxin Yang
Maode Ma
spellingShingle Xuemei Sun
Yongxin Yang
Maode Ma
Minimum Connected Dominating Set Algorithms for Ad Hoc Sensor Networks
Sensors
ad hoc sensor networks
maximum independent set (MIS)
minimum connected dominating set (MCDS)
minimum spanning tree
Steiner tree
author_facet Xuemei Sun
Yongxin Yang
Maode Ma
author_sort Xuemei Sun
title Minimum Connected Dominating Set Algorithms for Ad Hoc Sensor Networks
title_short Minimum Connected Dominating Set Algorithms for Ad Hoc Sensor Networks
title_full Minimum Connected Dominating Set Algorithms for Ad Hoc Sensor Networks
title_fullStr Minimum Connected Dominating Set Algorithms for Ad Hoc Sensor Networks
title_full_unstemmed Minimum Connected Dominating Set Algorithms for Ad Hoc Sensor Networks
title_sort minimum connected dominating set algorithms for ad hoc sensor networks
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2019-04-01
description To achieve effective communication in ad hoc sensor networks, researchers have been working on finding a minimum connected dominating set (MCDS) as a virtual backbone network in practice. Presently, many approximate algorithms have been proposed to construct MCDS, the best among which is adopting the two-stage idea, that is, to construct a maximum independent set (MIS) firstly and then realize the connectivity through the Steiner tree construction algorithm. For the first stage, this paper proposes an improved collaborative coverage algorithm for solving maximum independent set (IC-MIS), which expands the selection of the dominating point from two-hop neighbor to three-hop neighbor. The coverage efficiency has been improved under the condition of complete coverage. For the second stage, this paper respectively proposes an improved Kruskal–Steiner tree construction algorithm (IK–ST) and a maximum leaf nodes Steiner tree construction algorithm (ML-ST), both of which can make the result closer to the optimal solution. Finally, the simulation results show that the algorithm proposed in this paper is a great improvement over the previous algorithm in optimizing the scale of the connected dominating set (CDS).
topic ad hoc sensor networks
maximum independent set (MIS)
minimum connected dominating set (MCDS)
minimum spanning tree
Steiner tree
url https://www.mdpi.com/1424-8220/19/8/1919
work_keys_str_mv AT xuemeisun minimumconnecteddominatingsetalgorithmsforadhocsensornetworks
AT yongxinyang minimumconnecteddominatingsetalgorithmsforadhocsensornetworks
AT maodema minimumconnecteddominatingsetalgorithmsforadhocsensornetworks
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