1. Authors: N. Javaid, M. Aslam, K. Djouani, Z. A. Khan, T. A. Alghamdi
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. 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