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ATCEEC: A New Energy Efficient Routing Protocol for Wireless Sensor Networks

This paper proposes the ATCEEC protocol, an application-aware threshold-based centralized energy efficient clustering protocol for routing in wireless sensor networks (WSNs). The protocol is based on an advanced central control algorithm and is capable of sensing temperature and humidity. Simulation results show that ATCEEC yields maximum network lifetime and stability compared to other selected protocols.

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ATCEEC: A New Energy Efficient Routing Protocol for Wireless Sensor Networks

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  1. ATCEEC: A New Energy Efficient Routing Protocol for Wireless Sensor Networks Authors: N. Javaid, M. Aslam, K. Djouani, Z. A. Khan, T. A. Alghamdi

  2. Presentation Outline • Abstract • Introduction • Related Work • Problem Statement • Proposed Network Model • Proposed model of The Atceec • Results • Conclusion

  3. Abstract • Proposal 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 criteria • Hybrid nature of proposed protocol is suitable for both proactive and reactive networks • Simulation results show that ATCEEC yields maximum network lifetime and stability period as compared to the selected protocols

  4. Introduction (1/2) • Modern progression in Micro Electro Mechanical System (MEMS) • Individual Sensor Capability • WSN Architecture • Applications • Energy constraint • Energy efficient techniques

  5. Introduction (2/2) • Types of WSNs • Types of Energy efficient routing protocols • Main objective of routing protocols • Application awareness • Existing protocols • Our proposed ATCEEC protocol

  6. Related Work • Types of clustering based routing protocols • Homogeneous and Heterogeneous Networks • LEACH • SEP • DEEC • LEACH-C • TEEN

  7. Problem Statement • Low network lifetime and stability of WSNs • Limited battery capacity • Inefficient CH selection in distributed algorithms • Lack of network deployment planning • Existing problem of application-awareness • Coping with pro-active and reactive routing approach

  8. Proposed Network Model • Division of network • Low energy region • Medium energy region • High energy region • Node association • According to their own type of CHs

  9. Proposed Model of ATCEEC • ATCEEC’s advanced centrally controlled algorithm • Parameters for the selection of CHs • Heterogeneity awareness of ATCEEC • Application-awareness • Threshold mechanism • Network Settling Phase (NSP) and Network Transmission Phase (NTP)

  10. Network Settling Phase of ATCEEC (1/2) • Some nodes are selected as CHs and others associate with them • Types of nodes and regions of networks • Total Energy of all networks nodes -----(1) • Restrictions in CH selection • Average energy of each type of node

  11. 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 selection • Association Phase.

  12. Network Transmission Phase • Transmission of sensed information • Threshold levels • Temperature Threshold --(7) • Humidity Threshold --(8) • Critical Threshold --(9)

  13. Transmission Management through threshold (1/3) • Data is received at every CH in every round • Amount and data type is depending upon • Atmospheric fluctuation • Decision of nodes

  14. Transmission Management through threshold (2/3) • Different results • With variation in threshold

  15. Transmission Management through threshold (3/3) • Different results • With variation in threshold

  16. Flowchart of ATCEEC Fig. 5. Flowchart of ATCEEC

  17. Results • Simulation Parameters

  18. Alive Nodes • Increased number of alive nodes • Enhanced stability period Fig. 6. Alive nodes

  19. Dead Nodes • Low rate of dead nodes • Small instable period Fig. 7. Dead nodes

  20. Cluster-Heads Generation • Provision of required number of CHs continuously Fig. 8. Cluster head Generation

  21. Packets sent to BS • Uneven CH generation • Affect number of packets received Fig. 9. Packets sent to BS

  22. Conclusion • ATCEEC 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-awareness • ATCEEC 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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