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Authors: N. Javaid, M. Aslam, K. Djouani, Z. A. Khan, T. A. Alghamdi
ATCEEC: A New Energy Efficient Routing Protocol for Wireless Sensor Networks
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Presentation OutlineAbstractIntroductionRelated WorkProblem StatementProposed Network ModelProposed model of The AtceecResults Conclusion
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AbstractProposal of an Application-aware Threshold-based
Centralized Energy Efficient Clustering (ATCEEC) protocol for routing in Wireless Sensor Networks (WSNs).
Operation is based on an advanced central control algorithm
Each wireless sensor (node) is capable of sensing two types of environmental dynamics; temperature and humidity.
CH selection criteriaHybrid nature of proposed protocol is suitable for both
proactive and reactive networksSimulation results show that ATCEEC yields maximum
network lifetime and stability period as compared to the selected protocols
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Introduction (1/2)Modern progression in Micro Electro Mechanical
System (MEMS)Individual Sensor Capability WSN ArchitectureApplicationsEnergy constraintEnergy efficient techniques
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Introduction (2/2)Types of WSNsTypes of Energy efficient routing protocolsMain objective of routing protocolsApplication awarenessExisting protocolsOur proposed ATCEEC protocol
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Related WorkTypes of clustering based routing protocolsHomogeneous and Heterogeneous NetworksLEACHSEPDEECLEACH-CTEEN
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Problem StatementLow network lifetime and stability of WSNsLimited battery capacityInefficient CH selection in distributed algorithmsLack of network deployment planningExisting problem of application-awareness Coping with pro-active and reactive routing approach
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Proposed Network Model
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Division of network Low energy region Medium energy
region High energy
regionNode association
According to their own
type of CHs
Proposed Model of ATCEECATCEEC’s advanced centrally controlled algorithmParameters for the selection of CHsHeterogeneity awareness of ATCEECApplication-awarenessThreshold mechanismNetwork Settling Phase (NSP) and Network Transmission
Phase (NTP)
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Network Settling Phase of ATCEEC (1/2)Some nodes are selected as CHs and others associate with
themTypes of nodes and regions of networksTotal Energy of all networks nodes
-----(1)
Restrictions in CH selection Average energy of each type of node
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Network Settling Phase of ATCEEC (2/2)Average residual Energy --(2) ( Normal nodes)Average Energy --(3) ( Advance nodes )Average Energy --(4) ( Super nodes )Required number of CHs --(5)
Distance to BS --(6)
Energy Comparison and CHs selectionAssociation Phase.
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Network Transmission Phase Transmission of sensed informationThreshold levelsTemperature Threshold --(7)
Humidity Threshold --(8)
Critical Threshold
--(9)
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Transmission Management through threshold (1/3)
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Data is received at every CH in every roundAmount and data type is depending upon
Atmospheric fluctuation Decision of nodes
Transmission Management through threshold (2/3)
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Different resultsWith variation in threshold
Transmission Management through threshold (3/3)
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Different resultsWith variation in threshold
Flowchart of ATCEEC
16 Fig. 5. Flowchart of ATCEEC
Results Simulation Parameters
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Alive Nodes
18 Fig. 6. Alive nodes
Increased number of
alive nodesEnhanced stability period
Dead Nodes
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Low rate of dead nodesSmall instable period
Fig. 7. Dead nodes
Cluster-Heads Generation
20 Fig. 8. Cluster head Generation
Provision of required
number of CHs continuously
Packets sent to BS
21 Fig. 9. Packets sent to BS
Uneven CH generationAffect number of packets received
ConclusionATCEEC is proposed for tri level heterogeneous
WSNs.ATCEEC follows the concept of heterogeneous-aware
clustering used in the SEP, E-SEP and DEEC.Another major area of improvement in the proposed
protocol is its multiple application-awarenessATCEEC is the first centralized clustering algorithm
that supports heterogeneity and application awareness in WSNs
Simulation results show the performance enhancement achieved by ATCEEC
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