Impact of Leadership and Mobility on Consensus-Building in Sensor Networks

Introducing leadership and mobility is known to benefit wireless sensor networks in terms of consensus-building and collective decision-making. However, these benefits are neither analytically proven nor quantified in the literature. This paper fills this gap by investigating the mobility dynamics i...

Full description

Bibliographic Details
Main Authors: Roya Norouzi Kandalan, Murali Varanasi, Bill Buckles, Kamesh Namuduri
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/4/1081
id doaj-26d976e670cd4f7fa7e7cac816efae9e
record_format Article
spelling doaj-26d976e670cd4f7fa7e7cac816efae9e2020-11-25T01:30:42ZengMDPI AGSensors1424-82202020-02-01204108110.3390/s20041081s20041081Impact of Leadership and Mobility on Consensus-Building in Sensor NetworksRoya Norouzi Kandalan0Murali Varanasi1Bill Buckles2Kamesh Namuduri3Department of Electrical Engineering, University of North Texas, Discovery Park, 3940 N Elm St, Denton, TX 76207, USADepartment of Electrical Engineering, University of North Texas, Discovery Park, 3940 N Elm St, Denton, TX 76207, USADepartment of Electrical Engineering, University of North Texas, Discovery Park, 3940 N Elm St, Denton, TX 76207, USADepartment of Electrical Engineering, University of North Texas, Discovery Park, 3940 N Elm St, Denton, TX 76207, USAIntroducing leadership and mobility is known to benefit wireless sensor networks in terms of consensus-building and collective decision-making. However, these benefits are neither analytically proven nor quantified in the literature. This paper fills this gap by investigating the mobility dynamics in wireless sensor networks analytically. The results of the analytical investigation are presented as a set of theorems and their proofs. This paper also establishes a natural synergy between the leader-follower model and its bipartite graph representation. It demonstrates the advantages of the leader-follower model for consensus-building over others in terms of improved convergence rate. It presents a strategy for choosing leaders from among the agents participating in the consensus-building process using the well-known graph-coloring solution. Then, it shows how the leader-follower model helps improve the convergence rate of consensus-building. Finally, it shows that the convergence rate of the consensus-building process can be further improved by making the leaders mobile.https://www.mdpi.com/1424-8220/20/4/1081consensus-buildingsensor modelssensor networkvehicle-to-vehicle (v2v) communicationsmobility
collection DOAJ
language English
format Article
sources DOAJ
author Roya Norouzi Kandalan
Murali Varanasi
Bill Buckles
Kamesh Namuduri
spellingShingle Roya Norouzi Kandalan
Murali Varanasi
Bill Buckles
Kamesh Namuduri
Impact of Leadership and Mobility on Consensus-Building in Sensor Networks
Sensors
consensus-building
sensor models
sensor network
vehicle-to-vehicle (v2v) communications
mobility
author_facet Roya Norouzi Kandalan
Murali Varanasi
Bill Buckles
Kamesh Namuduri
author_sort Roya Norouzi Kandalan
title Impact of Leadership and Mobility on Consensus-Building in Sensor Networks
title_short Impact of Leadership and Mobility on Consensus-Building in Sensor Networks
title_full Impact of Leadership and Mobility on Consensus-Building in Sensor Networks
title_fullStr Impact of Leadership and Mobility on Consensus-Building in Sensor Networks
title_full_unstemmed Impact of Leadership and Mobility on Consensus-Building in Sensor Networks
title_sort impact of leadership and mobility on consensus-building in sensor networks
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2020-02-01
description Introducing leadership and mobility is known to benefit wireless sensor networks in terms of consensus-building and collective decision-making. However, these benefits are neither analytically proven nor quantified in the literature. This paper fills this gap by investigating the mobility dynamics in wireless sensor networks analytically. The results of the analytical investigation are presented as a set of theorems and their proofs. This paper also establishes a natural synergy between the leader-follower model and its bipartite graph representation. It demonstrates the advantages of the leader-follower model for consensus-building over others in terms of improved convergence rate. It presents a strategy for choosing leaders from among the agents participating in the consensus-building process using the well-known graph-coloring solution. Then, it shows how the leader-follower model helps improve the convergence rate of consensus-building. Finally, it shows that the convergence rate of the consensus-building process can be further improved by making the leaders mobile.
topic consensus-building
sensor models
sensor network
vehicle-to-vehicle (v2v) communications
mobility
url https://www.mdpi.com/1424-8220/20/4/1081
work_keys_str_mv AT royanorouzikandalan impactofleadershipandmobilityonconsensusbuildinginsensornetworks
AT muralivaranasi impactofleadershipandmobilityonconsensusbuildinginsensornetworks
AT billbuckles impactofleadershipandmobilityonconsensusbuildinginsensornetworks
AT kameshnamuduri impactofleadershipandmobilityonconsensusbuildinginsensornetworks
_version_ 1725090556104671232