MCEEC: MULTI-HOP CENTRALIZED ENERGY EFFICIENT CLUSTERING ROUTING PROTOCOL FOR WSNS N. Javaid, M. Aslam, K. Djouani, Z. A. Khan, T. A. Alghamdi.

Slides:



Advertisements
Similar presentations
By: Mansoor Mustafa Reg. No. FA11-REE-044 Supervisor Dr. Safdar H. Bouk Co-supervisor Dr. Nadeem Javaid Multiple Criteria Decision Making based Clustering.
Advertisements

Min Song 1, Yanxiao Zhao 1, Jun Wang 1, E. K. Park 2 1 Old Dominion University, USA 2 University of Missouri at Kansas City, USA IEEE ICC 2009 A High Throughput.
Decentralized Reactive Clustering in Sensor Networks Yingyue Xu April 26, 2015.
RESEARCH POSTER PRESENTATION DESIGN © QUICK DESIGN GUIDE (--THIS SECTION DOES NOT PRINT--) This PowerPoint 2007 template.
BY: TAUSEEF SHAH REG. NO. FA11-REE-049 SUPERVISOR DR. SAFDAR H. BOUK CO-SUPERVISOR DR. NADEEM JAVAID MVC: Modified VIKOR Model based Clustering Protocol.
Presented by Rick Skowyra
Routing Protocols for Sensor Networks Presented by Siva Desaraju Computer Science WMU An Application Specific Protocol Architecture for Wireless Microsensor.
Kyung Tae Kim, Hee Yong Youn (Sungkyunkwan University)
An Application-Specific Protocol Architecture for Wireless Microsensor Networks Wendi Rabiner Heinzelman, Anantha Chandrakasan, and Hari Balakrishnan (MIT)
1 Message Oriented Middleware and Hierarchical Routing Protocols Smita Singhaniya Sowmya Marianallur Dhanasekaran Madan Puthige.
Sensor network Routing protocol A study on LEACH protocol and how to improve it.
CLUSTERING IN WIRELESS SENSOR NETWORKS B Y K ALYAN S ASIDHAR.
Infocom'04Ossama Younis, Purdue University1 Distributed Clustering in Ad-hoc Sensor Networks: A Hybrid, Energy-Efficient Approach Ossama Younis and Sonia.
An Energy Efficient Routing Protocol for Cluster-Based Wireless Sensor Networks Using Ant Colony Optimization Ali-Asghar Salehpour, Babak Mirmobin, Ali.
Introduction to Wireless Sensor Networks
Tufts Wireless Laboratory Tufts University School Of Engineering Energy-Efficient Structuralized Clustering for Sensor-based Cyber Physical Systems Jierui.
Improvement on LEACH Protocol of Wireless Sensor Network
Aeon LEACH An Efficient LEACH protocol in Heterogeneous and Homogenous Wireless Sensor Networks Under Guidance Of: Dr. Mohammad Mozumdar Presented By :
Sec-TEEN: Secure Threshold sensitive Energy Efficient sensor Network protocol Ibrahim Alkhori, Tamer Abukhalil & Abdel-shakour A. Abuznied Department of.
Low-Energy Adaptive Clustering Hierarchy An Energy-Efficient Communication Protocol for Wireless Micro-sensor Networks M. Aslam hayat.
LEACH-SC Presented By M. Jaffar Khan
A novel Energy-Efficient and Distance- based Clustering approach for Wireless Sensor Networks M. Mehdi Afsar, Mohammad-H. Tayarani-N.
POWER EFFICIENCY ROUTING ALGORITHMS OF WIRELESS SENSOR NETWORKS
LEACH Week 11 Lecture 2 5/7/2015LEACHFolie 1 von XYZ.
1 An Energy-Efficient Unequal Clustering Mechanism for Wireless Sensor Networks Chengfa Li, Mao Ye, Guihai Chen State Key Laboratory for Novel Software.
ABSTRACT impact of heterogeneity of nodes, in terms of their energy
By Areeba Rao with Dr. Nadeem Javaid COMSATS, Institute of Information Technology, Islamabad, Pakistan AM-DisCNT: Angular Multi-hop DIStance based Circular.
後卓越進度報告 蔡育仁老師實驗室 2006/07/10. Non-uniform Deployment for Lifetime-based Sensor Networks Propose a non-uniform density for random deployment based on the.
APTEEN: A Hybrid Protocol for Efficient Routing and Comprehensive Information Retrieval in Wireless Sensor Networks Arati Manjeshwar, Dharma P. Agrawaly.
An Energy Efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks Seema Bandyopadhyay and Edward J. Coyle IEEE INFOCOM 2003.
Talha Naeem Qureshi Joint work with Tauseef Shah and Nadeem Javaid
Vikramaditya. What is a Sensor Network?  Sensor networks mainly constitute of inexpensive sensors densely deployed for data collection from the field.
M-GEAR: Gateway-Based Energy-Aware Multi-Hop Routing Protocol
A Framework for Energy- Saving Data Gathering Using Two-Phase Clustering in Wireless Sensor Networks Wook Chio, Prateek Shah, and Sajal K. Das Center for.
Multimedia & Networking Lab
A novel gossip-based sensing coverage algorithm for dense wireless sensor networks Vinh Tran-Quang a, Takumi Miyoshi a,b a Graduate School of Engineering,
Design of a distributed energy efficient clustering (DEEC) algorithm for heterogeneous wireless sensor networks.
Efficient Deployment Algorithms for Prolonging Network Lifetime and Ensuring Coverage in Wireless Sensor Networks Yong-hwan Kim Korea.
Bandwidth Constrained Energy Efficient Transmission Protocol in Wireless Sensor Networks Jain-Shing LIU and Chun-Hung Richard LIN,Nonmembers IEICE TRANS.
Wireless Sensor Network Protocols Dr. Monir Hossen ECE, KUET Department of Electronics and Communication Engineering, KUET.
Improving Routing in Sensor Networks with Heterogeneous Sensor Nodes Xiaojiang Du & Fengjing Lin Vehicular Technology Conference,2005 Spring,Volume 4.
REECH ME: Regional Energy Efficient Cluster Heads based on Maximum Energy Routing Protocol Prepared by: Arslan Haider. 1.
An Energy-Aware Periodical Data Gathering Protocol Using Deterministic Clustering in Wireless Sensor Networks (WSN) Mohammad Rajiullah & Shigeru Shimamoto.
SIMPLE: Stable Increased Throughput Multi-hop Link Efficient Protocol For WBANs Qaisar Nadeem Department of Electrical Engineering Comsats Institute of.
Resilient Approach for Energy Management on Hot Spots in WSNs Fernando Henrique Gielow Michele Nogueira Aldri Luiz dos Santos
By Naeem Amjad 1.  Challenges  Introduction  Motivation  First Order Radio Model  Proposed Scheme  Simulations And Results  Conclusion 2.
S& EDG: Scalable and Efficient Data Gathering Routing Protocol for Underwater Wireless Sensor Networks 1 Prepared by: Naveed Ilyas MS(EE), CIIT, Islamabad,
Authors: N. Javaid, M. Aslam, K. Djouani, Z. A. Khan, T. A. Alghamdi
Copyright © 2011, Scalable and Energy-Efficient Broadcasting in Multi-hop Cluster-Based Wireless Sensor Networks Long Cheng ∗ †, Sajal K. Das†,
Modeling In-Network Processing and Aggregation in Sensor Networks Ajay Mahimkar The University of Texas at Austin March 24, 2004.
Variable Bandwidth Allocation Scheme for Energy Efficient Wireless Sensor Network SeongHwan Cho, Kee-Eung Kim Korea Advanced Institute of Science and Technology.
An Energy-Efficient Geographic Routing with Location Errors in Wireless Sensor Networks Julien Champ and Clement Saad I-SPAN 2008, Sydney (The international.
Energy-Efficient Wake-Up Scheduling for Data Collection and Aggregation Yanwei Wu, Member, IEEE, Xiang-Yang Li, Senior Member, IEEE, YunHao Liu, Senior.
Group Members Usman Nazir FA08-BET-179 M.Usman Saeed FA08-BET-173
Data Dissemination Based on Ant Swarms for Wireless Sensor Networks S. Selvakennedy, S. Sinnappan, and Yi Shang IEEE 2006 CONSUMER COMMUNICATIONS and NETWORKING.
Simulation of DeReClus Yingyue Xu September 6, 2003.
Prolonging the Lifetime of Wireless Sensor Networks via Unequal Clustering Stanislava Soro Wendi B. Heinzelman University of Rochester IPDPS 2005.
“LPCH and UDLPCH: Location-aware Routing Techniques in WSNs”. Y. Khan, N. Javaid, M. J. Khan, Y. Ahmad, M. H. Zubair, S. A. Shah.
Abstract 1/2 Wireless Sensor Networks (WSNs) having limited power resource report sensed data to the Base Station (BS) that requires high energy usage.
Wireless Access and Networking Technology (WANT) Lab. An Efficient Data Aggregation Approach for Large Scale Wireless Sensor Networks Globecom 2010 Lutful.
An Application-Specific Protocol Architecture for Wireless Microsensor Networks 컴퓨터 공학과 오영준.
A Secure Routing Protocol with Intrusion Detection for Clustering Wireless Sensor Networks International Forum on Information Technology and Applications.
1 Power-efficient Clustering Routing Protocol Based on Applications in Wireless Sensor Network Authors: Tao Liu and Feng Li Form:International Conferecnce.
How to minimize energy consumption of Sensors in WSN Dileep Kumar HMCL 30 th Jan, 2015.
Distributed Energy Efficient Clustering (DEEC) Routing Protocol
Introduction to Wireless Sensor Networks
Net 435: Wireless sensor network (WSN)
SEP routing protocol in WSN
Leach routing protocol in WSN
Leach routing protocol in WSN
Presentation transcript:

MCEEC: MULTI-HOP CENTRALIZED ENERGY EFFICIENT CLUSTERING ROUTING PROTOCOL FOR WSNS N. Javaid, M. Aslam, K. Djouani, Z. A. Khan, T. A. Alghamdi

Outline  Abstract  Introduction  Related Work  Problem Statement  Proposed Network Model  Proposed Model  Results  Conclusion

Abstract  Proposed a Multi-hop Centralized Energy Efficient Clustering (MCEEC)  Execution of MCEEC clustering is performed by advanced central control algorithm  Each node is capable of sensing two types of environmental dynamics  Temperature  Humidity

Continue…  CH selection criteria  Multi-hop inter-cluster communication for MCEEC.  Network deployment for MCEEC operation  MCEEC provides  Long network lifetime  Long stability period

Introduction (1/2)  Modern progression in Micro Electro Mechanical System (MEMS)  Individual Sensor Capability  WSN Architecture  Applications  Energy constrain  Energy efficient routing techniques

Introduction (2/2)  Types of WSNs  Types of Energy efficient routing protocols  Main objective of routing protocols  Intra cluster communication and Inter cluster communication  Multi-hoping advantages  We proposed MCEEC

Related Work  Types of clustering routing protocols  Homogeneous and Heterogeneous Networks  Single-hop inter-cluster communication and multi-hop inter- cluster communication.  LEACH  MLEACH  SEP  DEEC  LEACH-C

Problem Statement  Low network lifetime and stability of WSNs  Limited battery capacity  Un guaranteed CHs selection of distributed algorithms  Lack of network deployment planning  Large network area  High network density  Single-hop intra and inter-cluster communication

Proposed Network Model

Proposed Network Model Clustering Mechanism

Proposed Model of MCEEC  MCEEC’s advanced centrally controlled algorithm  Parameters for the selection of CHs  Heterogeneity awareness of MCEEC  Multi-hoping Inter-cluster Communications  Clustering and Multi-hoping restrictions for MCEEC  Network Settling Phase (NSP) and Network Transmission Phase (NTP)

Network Settling Phase (NSP) of MCEEC (1/2)  CHs selection  Types of nodes and regions of networks  Total Energy network  CHs selection restrictions  Average energy of each type node

Network Settling Phase (NSP) of MCEEC (2/2)  For normal nodes  For Advance nodes  For Super nodes   Required number of CHs  Distance to BS  Comparison and CHs selection  Association Phase.

Network Transmission Phase (NTP)  Transmission of sensed data  CHs aggregate received data  CHs compress aggregated data  Only transmit Meaning full information  Single-hop intra cluster-communication  Multi-hop inter cluster-communication

Radio Model Used in MCEEC  Radio Model  Energy consumption

Results  Simulation Parameters

Alive Nodes for first scenario  Stability period increased  Due to the uniform random deployment of nodes  Centralized cluster formation  Multihoping in inter-cluster

Dead Nodes for first scenario  Late start of instability period as compared to the other routing protocols  Transmission responsibilities of nodes according to their remaining energies

Cluster-Heads Generation for first scenario  Guaranteed number of CHs per round  Centralized controlled selection of CHs  LEACH, SEP, E-SEP and DEEC do not provide guaranteed number of CHs

Alive Nodes for second scenario  Guaranteed number of CHs provide high throughput  Throughput enhancement is due to multi-hop communication approach  CHs transmit data in short range

Dead Nodes for second scenario  Number of dead node slowly increase as compared to LEACH, DEEC, SEP and ESEP

Cluster-Heads Generation for second scenario  Fluctuations in CHs selection per round increased

Packets send to BS for second scenario  Better throughput of MCEEC as compared to selected routing protocols

Conclusion  We propose MCEEC routing protocol for three level heterogeneous WSNs  MCEEC bases on the concept of heterogeneous-aware clustering like SEP, E-SEP and DEEC.  Major improvement is centralized clustering algorithm  MCEEC provides scalability  MCEEC outperform  LEACH  SEP  E-SEP  DEEC