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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