Submit Search
Upload
Node Deployment Technique using Wireless Sensor Networks
•
0 likes
•
53 views
IRJET Journal
Follow
https://www.irjet.net/archives/V4/i6/IRJET-V4I665.pdf
Read less
Read more
Engineering
Report
Share
Report
Share
1 of 6
Download now
Download to read offline
Recommended
F04623943
F04623943
IOSR-JEN
The Expansion of 3D wireless sensor network Bumps localization
The Expansion of 3D wireless sensor network Bumps localization
IJERA Editor
IRJET- A Study on Hierarchical Cluster based Routing Techniques in Wireless S...
IRJET- A Study on Hierarchical Cluster based Routing Techniques in Wireless S...
IRJET Journal
ALL ABOUT DATA AGGREGATION IN WIRELESS SENSOR NETWORKS
ALL ABOUT DATA AGGREGATION IN WIRELESS SENSOR NETWORKS
Editor IJCTER
CUTTING DOWN ENERGY USAGE IN WIRELESS SENSOR NETWORKS USING DUTY CYCLE TECHNI...
CUTTING DOWN ENERGY USAGE IN WIRELESS SENSOR NETWORKS USING DUTY CYCLE TECHNI...
ijwmn
WSN presentation
WSN presentation
Braj Raj Singh
BEE BASED ROUTING PROTOCOL FOR MANET
BEE BASED ROUTING PROTOCOL FOR MANET
Editor IJCTER
Direct_studies_report13
Direct_studies_report13
Farhad Gholami
Recommended
F04623943
F04623943
IOSR-JEN
The Expansion of 3D wireless sensor network Bumps localization
The Expansion of 3D wireless sensor network Bumps localization
IJERA Editor
IRJET- A Study on Hierarchical Cluster based Routing Techniques in Wireless S...
IRJET- A Study on Hierarchical Cluster based Routing Techniques in Wireless S...
IRJET Journal
ALL ABOUT DATA AGGREGATION IN WIRELESS SENSOR NETWORKS
ALL ABOUT DATA AGGREGATION IN WIRELESS SENSOR NETWORKS
Editor IJCTER
CUTTING DOWN ENERGY USAGE IN WIRELESS SENSOR NETWORKS USING DUTY CYCLE TECHNI...
CUTTING DOWN ENERGY USAGE IN WIRELESS SENSOR NETWORKS USING DUTY CYCLE TECHNI...
ijwmn
WSN presentation
WSN presentation
Braj Raj Singh
BEE BASED ROUTING PROTOCOL FOR MANET
BEE BASED ROUTING PROTOCOL FOR MANET
Editor IJCTER
Direct_studies_report13
Direct_studies_report13
Farhad Gholami
Issues in optimizing the performance of wireless sensor networks
Issues in optimizing the performance of wireless sensor networks
eSAT Publishing House
IRJET-Review on New Energy Efficient Cluster Based Protocol for Wireless Sens...
IRJET-Review on New Energy Efficient Cluster Based Protocol for Wireless Sens...
IRJET Journal
Routing protocol on wireless sensor network
Routing protocol on wireless sensor network
shashankcsnits
IRJET- Clustering Protocols in Wireless Sensor Network: A Review
IRJET- Clustering Protocols in Wireless Sensor Network: A Review
IRJET Journal
EFFECTIVE AND SECURE DATA COMMUNICATION IN WSNs CONSIDERING TRANSFER MODULE O...
EFFECTIVE AND SECURE DATA COMMUNICATION IN WSNs CONSIDERING TRANSFER MODULE O...
IJEEE
De3211001104
De3211001104
IJMER
2015 11-07 -ad_hoc__network architectures and protocol stack
2015 11-07 -ad_hoc__network architectures and protocol stack
Syed Ariful Islam Emon
Node Failure Prevention by Using Energy Efficient Routing In Wireless Sensor ...
Node Failure Prevention by Using Energy Efficient Routing In Wireless Sensor ...
IJTET Journal
AggreLEACH: Enhance Privacy Preserving in Wireless Sensor Network
AggreLEACH: Enhance Privacy Preserving in Wireless Sensor Network
ijsrd.com
Performance Analysis of Energy Efficient Cross Layer Load Balancing in Tactic...
Performance Analysis of Energy Efficient Cross Layer Load Balancing in Tactic...
IRJET Journal
Load Balancing for Achieving the Network Lifetime in WSN-A Survey
Load Balancing for Achieving the Network Lifetime in WSN-A Survey
AM Publications
IRJET- Sink Mobility based Energy Efficient Routing Protocol for Wireless Sen...
IRJET- Sink Mobility based Energy Efficient Routing Protocol for Wireless Sen...
IRJET Journal
Data aggregation in wireless sensor networks
Data aggregation in wireless sensor networks
Jasleen Kaur (Chandigarh University)
Proactive Data Reporting of Wireless sensor Network using Wake Up Scheduling ...
Proactive Data Reporting of Wireless sensor Network using Wake Up Scheduling ...
ijsrd.com
A Review of Routing Protocols for Wireless Sensor Network
A Review of Routing Protocols for Wireless Sensor Network
IJMER
Wireless sensor networks, clustering, Energy efficient protocols, Particles S...
Wireless sensor networks, clustering, Energy efficient protocols, Particles S...
IJMIT JOURNAL
Performance Evaluation of Ant Colony Optimization Based Rendezvous Leach Usin...
Performance Evaluation of Ant Colony Optimization Based Rendezvous Leach Usin...
IJERD Editor
Performance Analysis and Comparison of Routing Protocols in Wireless Sensor N...
Performance Analysis and Comparison of Routing Protocols in Wireless Sensor N...
IRJET Journal
Routing protocolsin Wireless sensor network
Routing protocolsin Wireless sensor network
dilip pareek
E FFICIENT E NERGY U TILIZATION P ATH A LGORITHM I N W IRELESS S ENSOR...
E FFICIENT E NERGY U TILIZATION P ATH A LGORITHM I N W IRELESS S ENSOR...
IJCI JOURNAL
A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wireless ...
A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wireless ...
IRJET Journal
IRJET-A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wir...
IRJET-A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wir...
IRJET Journal
More Related Content
What's hot
Issues in optimizing the performance of wireless sensor networks
Issues in optimizing the performance of wireless sensor networks
eSAT Publishing House
IRJET-Review on New Energy Efficient Cluster Based Protocol for Wireless Sens...
IRJET-Review on New Energy Efficient Cluster Based Protocol for Wireless Sens...
IRJET Journal
Routing protocol on wireless sensor network
Routing protocol on wireless sensor network
shashankcsnits
IRJET- Clustering Protocols in Wireless Sensor Network: A Review
IRJET- Clustering Protocols in Wireless Sensor Network: A Review
IRJET Journal
EFFECTIVE AND SECURE DATA COMMUNICATION IN WSNs CONSIDERING TRANSFER MODULE O...
EFFECTIVE AND SECURE DATA COMMUNICATION IN WSNs CONSIDERING TRANSFER MODULE O...
IJEEE
De3211001104
De3211001104
IJMER
2015 11-07 -ad_hoc__network architectures and protocol stack
2015 11-07 -ad_hoc__network architectures and protocol stack
Syed Ariful Islam Emon
Node Failure Prevention by Using Energy Efficient Routing In Wireless Sensor ...
Node Failure Prevention by Using Energy Efficient Routing In Wireless Sensor ...
IJTET Journal
AggreLEACH: Enhance Privacy Preserving in Wireless Sensor Network
AggreLEACH: Enhance Privacy Preserving in Wireless Sensor Network
ijsrd.com
Performance Analysis of Energy Efficient Cross Layer Load Balancing in Tactic...
Performance Analysis of Energy Efficient Cross Layer Load Balancing in Tactic...
IRJET Journal
Load Balancing for Achieving the Network Lifetime in WSN-A Survey
Load Balancing for Achieving the Network Lifetime in WSN-A Survey
AM Publications
IRJET- Sink Mobility based Energy Efficient Routing Protocol for Wireless Sen...
IRJET- Sink Mobility based Energy Efficient Routing Protocol for Wireless Sen...
IRJET Journal
Data aggregation in wireless sensor networks
Data aggregation in wireless sensor networks
Jasleen Kaur (Chandigarh University)
Proactive Data Reporting of Wireless sensor Network using Wake Up Scheduling ...
Proactive Data Reporting of Wireless sensor Network using Wake Up Scheduling ...
ijsrd.com
A Review of Routing Protocols for Wireless Sensor Network
A Review of Routing Protocols for Wireless Sensor Network
IJMER
Wireless sensor networks, clustering, Energy efficient protocols, Particles S...
Wireless sensor networks, clustering, Energy efficient protocols, Particles S...
IJMIT JOURNAL
Performance Evaluation of Ant Colony Optimization Based Rendezvous Leach Usin...
Performance Evaluation of Ant Colony Optimization Based Rendezvous Leach Usin...
IJERD Editor
Performance Analysis and Comparison of Routing Protocols in Wireless Sensor N...
Performance Analysis and Comparison of Routing Protocols in Wireless Sensor N...
IRJET Journal
Routing protocolsin Wireless sensor network
Routing protocolsin Wireless sensor network
dilip pareek
E FFICIENT E NERGY U TILIZATION P ATH A LGORITHM I N W IRELESS S ENSOR...
E FFICIENT E NERGY U TILIZATION P ATH A LGORITHM I N W IRELESS S ENSOR...
IJCI JOURNAL
What's hot
(20)
Issues in optimizing the performance of wireless sensor networks
Issues in optimizing the performance of wireless sensor networks
IRJET-Review on New Energy Efficient Cluster Based Protocol for Wireless Sens...
IRJET-Review on New Energy Efficient Cluster Based Protocol for Wireless Sens...
Routing protocol on wireless sensor network
Routing protocol on wireless sensor network
IRJET- Clustering Protocols in Wireless Sensor Network: A Review
IRJET- Clustering Protocols in Wireless Sensor Network: A Review
EFFECTIVE AND SECURE DATA COMMUNICATION IN WSNs CONSIDERING TRANSFER MODULE O...
EFFECTIVE AND SECURE DATA COMMUNICATION IN WSNs CONSIDERING TRANSFER MODULE O...
De3211001104
De3211001104
2015 11-07 -ad_hoc__network architectures and protocol stack
2015 11-07 -ad_hoc__network architectures and protocol stack
Node Failure Prevention by Using Energy Efficient Routing In Wireless Sensor ...
Node Failure Prevention by Using Energy Efficient Routing In Wireless Sensor ...
AggreLEACH: Enhance Privacy Preserving in Wireless Sensor Network
AggreLEACH: Enhance Privacy Preserving in Wireless Sensor Network
Performance Analysis of Energy Efficient Cross Layer Load Balancing in Tactic...
Performance Analysis of Energy Efficient Cross Layer Load Balancing in Tactic...
Load Balancing for Achieving the Network Lifetime in WSN-A Survey
Load Balancing for Achieving the Network Lifetime in WSN-A Survey
IRJET- Sink Mobility based Energy Efficient Routing Protocol for Wireless Sen...
IRJET- Sink Mobility based Energy Efficient Routing Protocol for Wireless Sen...
Data aggregation in wireless sensor networks
Data aggregation in wireless sensor networks
Proactive Data Reporting of Wireless sensor Network using Wake Up Scheduling ...
Proactive Data Reporting of Wireless sensor Network using Wake Up Scheduling ...
A Review of Routing Protocols for Wireless Sensor Network
A Review of Routing Protocols for Wireless Sensor Network
Wireless sensor networks, clustering, Energy efficient protocols, Particles S...
Wireless sensor networks, clustering, Energy efficient protocols, Particles S...
Performance Evaluation of Ant Colony Optimization Based Rendezvous Leach Usin...
Performance Evaluation of Ant Colony Optimization Based Rendezvous Leach Usin...
Performance Analysis and Comparison of Routing Protocols in Wireless Sensor N...
Performance Analysis and Comparison of Routing Protocols in Wireless Sensor N...
Routing protocolsin Wireless sensor network
Routing protocolsin Wireless sensor network
E FFICIENT E NERGY U TILIZATION P ATH A LGORITHM I N W IRELESS S ENSOR...
E FFICIENT E NERGY U TILIZATION P ATH A LGORITHM I N W IRELESS S ENSOR...
Similar to Node Deployment Technique using Wireless Sensor Networks
A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wireless ...
A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wireless ...
IRJET Journal
IRJET-A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wir...
IRJET-A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wir...
IRJET Journal
IRJET- Energy Efficient Protocol in Wireless Sensor Network
IRJET- Energy Efficient Protocol in Wireless Sensor Network
IRJET Journal
EVENT DRIVEN ROUTING PROTOCOLS FOR WIRELESS SENSOR NETWORK- A SURVEY
EVENT DRIVEN ROUTING PROTOCOLS FOR WIRELESS SENSOR NETWORK- A SURVEY
ijcsa
Sensor Data Aggregation using a Cross Layer Framework for Smart City Applicat...
Sensor Data Aggregation using a Cross Layer Framework for Smart City Applicat...
IRJET Journal
Challenges for routing in wireless sensor networks
Challenges for routing in wireless sensor networks
Auwal Amshi
CUTTING DOWN ENERGY USAGE IN WIRELESS SENSOR NETWORKS USING DUTY CYCLE TECHNI...
CUTTING DOWN ENERGY USAGE IN WIRELESS SENSOR NETWORKS USING DUTY CYCLE TECHNI...
ijwmn
Wireless Sensor Network Using Six Sigma Multi Hop Routing
Wireless Sensor Network Using Six Sigma Multi Hop Routing
IOSR Journals
Wireless Sensor Network Using Six Sigma Multi Hop Routing
Wireless Sensor Network Using Six Sigma Multi Hop Routing
IOSR Journals
A Fault Tolerant Approach To Enhances WSN Lifetime In Star Topology
A Fault Tolerant Approach To Enhances WSN Lifetime In Star Topology
IRJET Journal
IRJET- Studies on Lifetime Enhancement Techniques for Wireless Sensor Network
IRJET- Studies on Lifetime Enhancement Techniques for Wireless Sensor Network
IRJET Journal
Energy Efficient Grid based Routing Algorithm using Closeness Centrality and ...
Energy Efficient Grid based Routing Algorithm using Closeness Centrality and ...
IRJET Journal
A Fault Tolerant Approach to Enhances Wsn Lifetime in Star Topology
A Fault Tolerant Approach to Enhances Wsn Lifetime in Star Topology
IRJET Journal
Performance Evaluation of LEACH Protocol for Wireless Sensor Network
Performance Evaluation of LEACH Protocol for Wireless Sensor Network
AM Publications
Multiple Sink Positioning and Relocation for Improving Lifetime in Wireless S...
Multiple Sink Positioning and Relocation for Improving Lifetime in Wireless S...
IRJET Journal
A Review Paper on Energy Capable Routing in Wireless Sensor Network
A Review Paper on Energy Capable Routing in Wireless Sensor Network
ijtsrd
Ijetcas14 591
Ijetcas14 591
Iasir Journals
IRJET- Coverage Hole Avoidance using Fault Node Recovery in Mobile Sensor Net...
IRJET- Coverage Hole Avoidance using Fault Node Recovery in Mobile Sensor Net...
IRJET Journal
B0470208027
B0470208027
ijceronline
Energy Minimization in Wireless Sensor Networks Using Multi Hop Transmission
Energy Minimization in Wireless Sensor Networks Using Multi Hop Transmission
IOSR Journals
Similar to Node Deployment Technique using Wireless Sensor Networks
(20)
A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wireless ...
A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wireless ...
IRJET-A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wir...
IRJET-A Virtual Grid-Based Dynamic Routes Adjustment (VGDRA) Scheme for Wir...
IRJET- Energy Efficient Protocol in Wireless Sensor Network
IRJET- Energy Efficient Protocol in Wireless Sensor Network
EVENT DRIVEN ROUTING PROTOCOLS FOR WIRELESS SENSOR NETWORK- A SURVEY
EVENT DRIVEN ROUTING PROTOCOLS FOR WIRELESS SENSOR NETWORK- A SURVEY
Sensor Data Aggregation using a Cross Layer Framework for Smart City Applicat...
Sensor Data Aggregation using a Cross Layer Framework for Smart City Applicat...
Challenges for routing in wireless sensor networks
Challenges for routing in wireless sensor networks
CUTTING DOWN ENERGY USAGE IN WIRELESS SENSOR NETWORKS USING DUTY CYCLE TECHNI...
CUTTING DOWN ENERGY USAGE IN WIRELESS SENSOR NETWORKS USING DUTY CYCLE TECHNI...
Wireless Sensor Network Using Six Sigma Multi Hop Routing
Wireless Sensor Network Using Six Sigma Multi Hop Routing
Wireless Sensor Network Using Six Sigma Multi Hop Routing
Wireless Sensor Network Using Six Sigma Multi Hop Routing
A Fault Tolerant Approach To Enhances WSN Lifetime In Star Topology
A Fault Tolerant Approach To Enhances WSN Lifetime In Star Topology
IRJET- Studies on Lifetime Enhancement Techniques for Wireless Sensor Network
IRJET- Studies on Lifetime Enhancement Techniques for Wireless Sensor Network
Energy Efficient Grid based Routing Algorithm using Closeness Centrality and ...
Energy Efficient Grid based Routing Algorithm using Closeness Centrality and ...
A Fault Tolerant Approach to Enhances Wsn Lifetime in Star Topology
A Fault Tolerant Approach to Enhances Wsn Lifetime in Star Topology
Performance Evaluation of LEACH Protocol for Wireless Sensor Network
Performance Evaluation of LEACH Protocol for Wireless Sensor Network
Multiple Sink Positioning and Relocation for Improving Lifetime in Wireless S...
Multiple Sink Positioning and Relocation for Improving Lifetime in Wireless S...
A Review Paper on Energy Capable Routing in Wireless Sensor Network
A Review Paper on Energy Capable Routing in Wireless Sensor Network
Ijetcas14 591
Ijetcas14 591
IRJET- Coverage Hole Avoidance using Fault Node Recovery in Mobile Sensor Net...
IRJET- Coverage Hole Avoidance using Fault Node Recovery in Mobile Sensor Net...
B0470208027
B0470208027
Energy Minimization in Wireless Sensor Networks Using Multi Hop Transmission
Energy Minimization in Wireless Sensor Networks Using Multi Hop Transmission
More from IRJET Journal
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
IRJET Journal
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
IRJET Journal
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
IRJET Journal
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
IRJET Journal
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
IRJET Journal
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
IRJET Journal
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
IRJET Journal
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
IRJET Journal
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
IRJET Journal
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
IRJET Journal
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
IRJET Journal
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
IRJET Journal
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
IRJET Journal
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
IRJET Journal
React based fullstack edtech web application
React based fullstack edtech web application
IRJET Journal
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
IRJET Journal
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
IRJET Journal
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
IRJET Journal
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
IRJET Journal
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
IRJET Journal
More from IRJET Journal
(20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
React based fullstack edtech web application
React based fullstack edtech web application
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Recently uploaded
247267395-1-Symmetric-and-distributed-shared-memory-architectures-ppt (1).ppt
247267395-1-Symmetric-and-distributed-shared-memory-architectures-ppt (1).ppt
ssuser5c9d4b1
the ladakh protest in leh ladakh 2024 sonam wangchuk.pptx
the ladakh protest in leh ladakh 2024 sonam wangchuk.pptx
humanexperienceaaa
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptx
upamatechverse
UNIT-III FMM. DIMENSIONAL ANALYSIS
UNIT-III FMM. DIMENSIONAL ANALYSIS
rknatarajan
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
RajkumarAkumalla
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
Soham Mondal
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
ranjana rawat
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Suman Mia
Roadmap to Membership of RICS - Pathways and Routes
Roadmap to Membership of RICS - Pathways and Routes
M Maged Hegazy, LLM, MBA, CCP, P3O
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
ranjana rawat
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Christo Ananth
Introduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptx
upamatechverse
IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...
IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...
RajaP95
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
Suhani Kapoor
SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )
Tsuyoshi Horigome
Top Rated Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...
Top Rated Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...
Call Girls in Nagpur High Profile
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
9953056974 Low Rate Call Girls In Saket, Delhi NCR
Extrusion Processes and Their Limitations
Extrusion Processes and Their Limitations
120cr0395
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
RajaP95
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
ranjana rawat
Recently uploaded
(20)
247267395-1-Symmetric-and-distributed-shared-memory-architectures-ppt (1).ppt
247267395-1-Symmetric-and-distributed-shared-memory-architectures-ppt (1).ppt
the ladakh protest in leh ladakh 2024 sonam wangchuk.pptx
the ladakh protest in leh ladakh 2024 sonam wangchuk.pptx
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptx
UNIT-III FMM. DIMENSIONAL ANALYSIS
UNIT-III FMM. DIMENSIONAL ANALYSIS
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Roadmap to Membership of RICS - Pathways and Routes
Roadmap to Membership of RICS - Pathways and Routes
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Introduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptx
IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...
IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
SPICE PARK APR2024 ( 6,793 SPICE Models )
SPICE PARK APR2024 ( 6,793 SPICE Models )
Top Rated Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...
Top Rated Pune Call Girls Budhwar Peth ⟟ 6297143586 ⟟ Call Me For Genuine Se...
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Extrusion Processes and Their Limitations
Extrusion Processes and Their Limitations
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
Node Deployment Technique using Wireless Sensor Networks
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 359 Node Deployment Technique Using Wireless Sensor Networks Bhawna Garg1, Assistant Professor Er, Amrita Chaudhary2 1Department of Computer Science and Engineering Galaxy Global Group of Institution Dinarpur, Amabala, India 2Department of Computer Science and Engineering Galaxy Global Group of Institution Dinarpur, Amabala, India ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract— A wireless sensornetworkinvolvesofsensor nodes which are capable to perform sensing, computation and transmission. These sensor nodes have limited battery power. Therefore to increase the lifetimeofwirelesssensornetwork, it is required to develop such techniques to consume less energy. Less consumption of overall energy of the network results is increase in the system capacity. In this kind of networks, some of the key parameters that need to be satisfied are connectivity, number of sensor nodes and energyconsumed by nodes. We proposed a multi-objective optimizationalgorithm based on energy and connectivitytoprolong WSNlifetime. The efficiency of algorithm can be shown as finding the optimal solutions among the least energy consumption while maintaining the connectivity of the network Index Terms: WSN, Energy Efficient Routing, Relay I. INTRODUCTION Wireless sensor network is a network consisting of several number of heterogeneous nodes called as sensors nodes which are spatially distributedall overthelocationandthese networks are used to monitor physical or environmental conditions such as temp, pressure, sound, vibration at these locations. Wireless communication enables[1] the co- operation of nodes to fulfill bigger tasks that single nodes cannot. Nodes in WSN are thickly deployed and are greater in numbers as compared to mobile ad hoc networks. These nodes communicate with each other and pass data along from one to each other from source to sink. Essentially Sensor nodes bridge the gap betweenphysical worldand the virtual world. Each node consists of processing capability, may contain many processing units like multiple types of memory, have a RF transceiver, have a power source like battery, and accommodate various sensors and actuators. A sensor network generallyconsistsofseveral[3]tinysensor nodes and a few powerful switch nodes also called base stations or called as sink. Sensor nodes are usually densely set up in a large area and communicate with each other in short distances through wireless communication. Although particular sensor nodes have limited number of resources, they are able to achieve worthytask ofbigvolume when they work as a team member. Informationgathered by and transmitted on a sensor network of wireless networks describes conditions of physical environments of the area where the sensor network is set up. II.Routing in wireless sensor network The nodes in the wireless sensor network are deployed at inaccessible location, so differentroutingprotocol havebeen proposed over a period of time for the routing the packetsin wireless sensor network. The routingprotocol forthesensor nodes depends upon the type of application. The routing protocol in wireless sensor network is broadly classified as cluster based routing, single path routing,Multipathrouting. The routing protocols in the wirelesssensornetwork haveto meet a strict power saving constraint. The main goal for the routing protocol is to deliver the packet from source to destination based on the topology or position addressing. If the addressing is host based then it is called as topological addressing and if a unique identification is chosen for the addressing of node then it is called as position based. The sensor node is capable of delivering[4] the requested user query back to the base station. The routing protocol for wireless sensor network can further be classified as single path algorithm in which only one instance of packet are sent at any time. There are many other protocols for wireless sensor network such as partial flooding and multipath routing. The single path routing protocol algorithm uses resources less than the resources used in multipath or partial flooding routing. The delivery of data is the main aim for single path, multipath and partial flooding routing protocol. The channel access problem is the main problem that is faced by the routing protocol. The routing protocol guarantees to access the channel efficiently by the user to increase the throughput of network. The routing algorithm used the concept of memorization of past traffic to increase the reliability of network. Energy Efficient Routing: As the energy consumption for performing computation has been significantly increased in present days but battery lifetime has not improved considerably.Thesignal strengthadjustmentconsumes large amount of energy. The energy efficient routing protocol is necessary to reduce the energy consumption[5] problem both in channel activation and data transfer.
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 360 Planner Graph Routing: If the neighbors are not closer to the target and the packets are dropped by the used path. Data recovery scheme is used to recover the data. It resends the data and provides end to end deliveryofpackets.The use of planner graph routing increase the efficiency of network. 2.1 Routing Challenges and Design Issues Depending upon the application thereareseveral challenges in the wireless sensor networks thataffectstheperformance of the routing protocol. Some of the challenges and design issues are as follows: Node Deployment:In WSN motesaredeployedaccordingto the demand of the application. Thus affects the productivity of the routing protocol. The nodes are deployed in uniform way or randomized way. In uniform way, the nodes are placed manually at fixed spot and routing paths are predetermined. In randomized way, the nodes are scattered randomly. This causes several issues such as optimal clustering, coverage etc. The position of the sink node or cluster head is an important factor in terms of energy efficiency. Energy Consumption: Sensor nodes are small in size so they have limited power supply to perform sensing[9], processing and transmitting the information via a wireless communication. The lifetime of the sensor node is totally dependent on the battery. Once the battery is depleted the sensor node will be dead it causes change in topology rerouting of data. The multi-hop communication consumes less energy than direct communication. But it increases the overhead on the topology management and MAC. Direct communication is better when nodes are close to the sink node. Fault Tolerance: A fault can occur in a node due to depletion of power supply, physical damage etc. If a sensor nodes stops working it shouldnoteffectstheoverall working of the WSNs. Routing protocol must be capable of handling the failure of sensor nodes by accommodating new link formation , routes to the base stations and by adjusting the transmit and receiving power on the link to reduce the energy consumption. Network Dynamics: For most of the application the sensor node are stationary but according to the need of the application the base station and sensor node are mobile. Routing becomes a challenge due to the mobility of nodes. According to the need of application the sensing phenomenon can be static or dynamic. Dynamic sensing is done target detection application while forest alert application requires static sensing. Data Delivery Models: The Data Delivery models depend upon the application of the network. There are four types of data delivery models: continuous,eventdriven,querydriven and hybrid. In continuous the data is send periodicallytothe sink. In event driven the data is transmit when the event happens. In query driven the data is transmit when sink generates a query to the node. Hybrid use combination of all three models depending upon the need of application. Scalability: A large number of sensor nodes in range of thousands are deployed in sensing area. Scalability means that the routing algorithms should work efficiently with large number of sensor nodes. Routing protocol must be efficient to react to the event occurring in the environment. Most of the sensor node remains in the sleep state until event does not occurs. Data Aggregation: Sensors nodesgenerateshugeamountof similar packets, data aggregation is used to reduce the transmission of similar packets. Data aggregation is combination of information from different sensor nodes by applying functions like suppression,average, maximum. The routing protocol incorporates this data aggregation technique to reduce data redundancy and achieve energy efficiency. Node capabilities: According to the demand of application different functionalities can be given to the sensor nodes. Depending on the application a sensor node can be perform functions like sensing, relaying, aggregation III.Need and significance of proposed research work The main motive of research is to increase the lifetime of WSN using multi-objective node deployment. The two main multi-objectivesare:(i)Energyconsumption(ii)Connectivity. There are various optimization protocols: Pareto optimal and non-dominant sorting genetic algorithm (NSGA-II) that are used to improve the lifetime of WSN network. 3.1 Objectives of proposed work To enhance the lifetime of wireless sensor networks using optimal multi-objective node deployment. The network lifetime is very critical parameter related to sensor network and has been tackled at various levels such as design, operation and deployment. A multi-objective routing protocol is designed to maximize the lifetime while considering other conflicting objectiveslike,minimization of energy consumption, maximization of connectivity. To make cluster heads using DE (Differential Evolution) algorithm. The DE algorithm is a simple, fast, efficient and population-based direct search algorithm for solving global optimization problems. The DE algorithm has been widely used in many areas. The DE algorithm uses the basic framework of the genetic algorithm for designing a unique differential mutation operator. The main operations of the DE algorithm have the mutation operation, crossover operation and selection operation. It takes on some advantages of the simple structure, ease of use, robustness, and fast convergence. A wireless sensor network consists of sensor nodes which are capable to perform sensing, computation and transmission. These sensor nodes have limited battery power. Therefore to increase the lifetime of wireless sensor
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 361 network, it is required to develop such techniques to consume less energy. Less consumption of overall energy of the network results is increase in the system capacity. Many researches are made on node deployment in wireless sensor networks. In this kind of network, some of the key objectives that need to be satisfied are connectivity and energy consumed by nodes. NSGA-II based multi-objective algorithm for optimizing all of these objectives simultaneously. The efficiency of this algorithm can be finding the optimal balance point among the least energy consumption, and the minimum number of active nodes to maintaining the connectivity of the network. 3.2 Planning of work i. To maximize the lifetime of wireless sensor network we proposed mainly two approaches named “Non-Dominated Sorting Genetic Algorithm-II and Differential Evolution Algorithm”. ii. NSGA-II is one of the most efficient multi-objective optimization algorithm. It finds the optimal locations of node deployment into the network.The optimal differential evolution algorithm to find the direction of node deployment to the optimized selection of cluster heads. NSGA-II algorithm is one of the most popular algorithms. By introducing the fast non dominated sorting approach, binary crowding tournament selection, and the Pareto- optimal front can be searched effectively. NSGA-II has a diversity-preserving mechanismwhichassuresconvergence toward the Pareto optimal front without losing solution diversity. Initially, a random population 𝐷𝑡 (𝑡 = 0) is created and is sorted into different non dominancelevels.Foreachsolution a fitness value is equal to its non dominance level. For creating an offspring population 𝐸𝑡ofsize 𝑁,someoperators such as binary tournament, mutation, selection and recombination are used. Then the following steps will be repeated until the number of generation reaches the maximum number of generations. Algorithm 1: Fast non-dominated sorting algorithm Input: population 𝑃 Output: The non-dominated fronts (Fr1, Fr2, . . .) For each 𝑝 ∈ 𝑃 For each 𝑞 ∈ 𝑃 If (𝑝 < 𝑞) then 𝑆𝑝= 𝑆𝑝 ∪ {𝑞} Else if (𝑞 < 𝑝) then 𝑛𝑝 = 𝑛𝑝 + 1 if 𝑛𝑝 = 0 then 𝐹1 = 𝐹1 ∪ {𝑝} 𝑖 = 1 while 𝐹𝑖 < > Ø 𝐻 = Ø For each 𝑝 ∈ Fr𝑖 For each 𝑞 ∈ 𝑆𝑝 𝑛𝑞 = 𝑛𝑞 − 1 if 𝑛𝑞 = 0 the𝐻 = 𝐻∪ {𝑞} 𝑖 = 𝑖 + 1 Fr𝑖 = 𝐻 Step 1: Combine parent and offspring populations to create 𝑃𝑡= 𝐷𝑡 ∪ 𝐸𝑡. Perform a fast non dominated sorting in 𝑃𝑡 according to the algorithm shown in Algorithm 1 and identify different fronts Fr𝑖, 𝑖 = 1, 2,.. Step 2: Set a new population 𝐷𝑡+1 = Ø. Set counter 𝑖 = 1. While |𝐷𝑡+1|+|Fr𝑖| < 𝑁, do 𝐷𝑡+1 = 𝐷𝑡+1 ∪ Fr𝑖 and 𝑖 = 𝑖+1. Step 3: Select (𝑁−|𝐷𝑡+1|)mostwidelyspreadsolutionsfrom Fr𝑖 using the binarycrowdingtournamentselectionoperator and insert them into 𝐷𝑡+1. Step 4: Create an offspring population 𝐸𝑡+1 from 𝐷𝑡+1 by using the binary crowding tournament selection, crossover, and mutation operators. Set 𝑡 = 𝑡 + 1. The process of non dominated sorting and filling the population 𝐷𝑡+1 steps can be performed together. In Step 3, the crowding-sorting of the solutions in front Fr𝑖, which is the last front that could not be completely accommodated, is performed by using a crowded-distance metric. The crowding comparison operator compares two solutionsand returns the winner of thetournament. The winnerisselected based on two attributes: the non dominance ranking 𝑟𝑖 and the local crowding distance 𝑑𝑖 in the population. Thiscrowdingdistanceattributeofa solution 𝑖 is a measure of the search space around 𝑖, which is not occupied by any other solution inthepopulation.Basedon 𝑟𝑖 and 𝑑𝑖, the binary crowding tournament selection operator works as follows. A solution 𝑖 wins a tournament over another solution 𝑗 if any of the following conditions is true.
4.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 362 (1) If ri < rj (this assures that the selected solution lies on a better non dominated front). (2) If ri < rj and di < dj (this is applied when both solutions lie on the same front and the above condition cannot be applied; in this case, the solution residing in a less crowded area with a larger 𝑑𝑖 wins). IV.Simulation Parameters The used simulation parameters are shown in Table 4.1 Table 4.1: Simulation Parameters. Name of the parameter Parameter values Network area (variable) 100 m · 100 m Number of sensor nodes (variable) 50 Initial energy(Einit) 0.5 J Eelec 50 nJ/bit Efs 10 pJ/bits/m2 Eamp 0.0013 pJ/bit/m4 Distance do sqrt(efs/emp) Eda 50 nJ/bit/signal Packet size (variable) 4000 bits 4.2 Simulation Scenario Initially there is a network in which nodes are deployed randomly. This is shown in figure 4.1. Figure 4.1: Random network deployment using 50 nodes. Initially there is a network in which nodes are deployed optimally. This is shown in figure 4.2. Figure 4.2: Optimal network deployment using 50 nodes. 4.3 Performance Evaluation The figure 4.3 shows the graph of half node dead in optimal deployment DE algorithm happens after 1000 rounds in spite of random deployment DEalgorithmwhichishaving its half dead after 800 rounds. Hence optimal deployment algorithm is energy efficient than random deployment algorithm. The figure 4.3 as shown below:
5.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 363 Figure 4.3: Comparison of optimal and random deployment in terms of half node dead. The figure 4.4 shows the graph of last node dead in optimal deployment DE algorithm happens after 1600 rounds in spite of random deployment DEalgorithmwhichishaving its last dead nodeafter1200rounds.Henceoptimal deployment algorithm is energy efficient than random deployment algorithm. The figure 4.4 as shown below: Figure 4.4: Comparison of optimal and random deployment in terms of last node dead. Figure 4.5 gives the graph which compares the performance of random and optimal deploy DE in terms of number of dead nodes with total number of rounds. Green line represents the optimal deployment DE and blue line represents the random deployment DE. Graph shows that optimal deployment shows improved performance over random deployment after 800 rounds. Figure 4.5: Comaprison of the performance of random and optimal deploy-DE in terms of number of dead nodes & number of rounds. Figure 4.6 gives the graph which compares the performance of random and optimal deploy DE in terms of number of remaining energy with total number of rounds. Green line represents the optimal deployment DE and blue line represents the random deployment DE. Graph shows that random deployment have almost sameresidual energyupto initial 100 rounds as optimal deployment is having. The optimal deployment shows improved performance of the remaining energy over random deployment after 100 rounds. Figure 4.6: Comaprison of the performance of optimal and random deploy-DE in terms of number of dead remaining energy with total number of rounds. V. Conclusion and Future Scope In this paper , We executed different simulation results to show the performance of the proposed algorithm. The simulation results to show the random and optimal deployment of nodes in the network. The results obtained from the simulations showed that with the same number of
6.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 06 | June -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 364 active sensor nodes, optimal deployment DE can obtain better results than random deployment DE algorithm In the future, NSGA-II algorithm is implemented for multi objective parametersinwirelesssensornetworks.Algorithm can be further implemented for other parameters such as coverage, reliability and quality of service (QoS). Hybrid DE-PSO algorithm can be used further to get the optimal results in the wireless sensor network to improve the lifetime of the network. References [1] Dr. P.Ponmuthuramalingam and M.Preethi. "A Survey on Node Deployment for Sensing Mobile- Node in WSN ." International Journal of Advanced Research in Computer and Communication Engineering ,Vol. 4, Issue 6, 2015. [2] Xuemei Sun. "NodeDeploymentAlgorithmBasedon Improved Steiner Tree." International Journal of Multimedia and Ubiquitous Engineering ,Vol.10, 2015. [3] Smita S. Kharade and Simra n R. Khiani. "Fault Prediction and Relay Node Placement in Wireless Sensor Network." International Journal of Innovative Research in Computer and Communication Engineering, Vol. 3, 2015. [4] Vidya Honguntikar and Dr. G. S. Biradar. "Optimization Techniques Incorporating Evolutionary Model in Wireless Sensor Network: A Survey " IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661,p-ISSN: 2278-8727, Volume 16, Issue 5, Ver. II (Sep – Oct. 2014), PP 19- 24. [5] Subir Halder and Sipra DasBit. "Design of a Probability Density Function Targeting Energy- Efficient Node Deployment in Wireless Sensor Networks." IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, VOL. 11, NO. 2, JUNE 2014. [6] Bang Wang, Han Xu, Wenyu Liu and Laurence T. Yang. "The Optimal Node Placement for Long Belt Coverage in Wireless Networks." IEEE TRANSACTIONS ON COMPUTERS, VOL. 64, NO. 2, FEBRUARY 2015. [7] Davood Izadi, Jemal Abawajy, and Sara Ghanavati. "An Alternative Node Deployment Scheme for WSNs." IEEE SENSORS JOURNAL, VOL. 15, NO. 2, FEBRUARY 2015. [8] Guangjie Han, Chenyu Zhang, Lei Shu, Member, IEEE, and Joel J. P. C. Rodrigues. "Impacts of Deployment StrategiesonLocalizationPerformance in Underwater Acoustic Sensor Networks." IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 62,NO. 3, MARCH 2015. [9] Guohang Huang, Dongming Chen, and XuxunLiu."A Node Deployment Strategy for Blindness Avoiding in Wireless Sensor Networks." IEEE COMMUNICATIONS LETTERS, VOL. 19, NO. 6, JUNE 2015. [10] Xuxun Liu. "A Deployment Strategy for Multiple Types of Requirements in Wireless Sensor Networks. " IEEE TRANSACTIONS ON CYBERNETICS, VOL. 45, NO. 10, OCTOBER 2015. [11] Hari Prabhat Gupta, Pankaj Kumar Tyagi, and Mohinder Pratap Singh. "Regular NodeDeployment for k Coverage in m-ConnectedWirelessNetworks." IEEE SENSORS JOURNAL, VOL. 15, NO. 12, DECEMBER 2015. [12] Apurva Pathak and Manisha Bhende. "Survey on Performance factors in Wireless Sensor Networks." International Journal of Engineering Trends and Technology (IJETT) – Volume23 Number 3- May 2015. [13] Raju Dutta, Shishir Gupta and Mukul K. Das." Power Consumption and Maximizing Network Lifetime during Communication of Sensor Node in WSN. " 2012. [14] Deepak R Dandekar and Dr. P.R.Deshmukh. " Relay Node Placement for Multi-Path Connectivity in Heterogeneous Wireless Sensor Networks. " 2012. [15] Muhammad Amir Khan, Halabi Hasbullah, Babar Nazir. " Multi-node Repositioning Technique for Mobile Sensor Network." 2013.
Download now