Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks Yun Wang,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple.

Slides:



Advertisements
Similar presentations
Using Cramer-Rao-Lower-Bound to Reduce Complexity of Localization in Wireless Sensor Networks Dominik Lieckfeldt, Dirk Timmermann Department of Computer.
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.
Range-Free Sensor Localization Simulations with ROCRSSI-based Algorithm Matt Magpayo
Rumor Routing in Sensor Networks David Braginsky and Deborah Estrin Presented By Tu Tran 1.
Topological Hole Detection Ritesh Maheshwari CSE 590.
KAIST Adaptive Triangular Deployment Algorithm for Unattended Mobile Sensor Networks Suho Yang (September 4, 2008) Ming Ma, Yuanyuan Yang IEEE Transactions.
Target Tracking Algorithm based on Minimal Contour in Wireless Sensor Networks Jaehoon Jeong, Taehyun Hwang, Tian He, and David Du Department of Computer.
1 Data Persistence in Large-scale Sensor Networks with Decentralized Fountain Codes Yunfeng Lin, Ben Liang, Baochun Li INFOCOM 2007.
3D Position Determination Hasti AhleHagh Professor. W.R. Michalson.
SMART: A Scan-based Movement- Assisted Sensor Deployment Method in Wireless Sensor Networks Jie Wu and Shuhui Yang Department of Computer Science and Engineering.
Novel Self-Configurable Positioning Technique for Multihop Wireless Networks Authors : Hongyi Wu Chong Wang Nian-Feng Tzeng IEEE/ACM TRANSACTIONS ON NETWORKING,
TPS: A Time-Based Positioning Scheme for outdoor Wireless Sensor Networks Authors: Xiuzhen Cheng, Andrew Thaeler, Guoliang Xue, Dechang Chen From IEEE.
Probability Grid: A Location Estimation Scheme for Wireless Sensor Networks Presented by cychen Date : 3/7 In Secon (Sensor and Ad Hoc Communications and.
Locating Sensors in the Forest: A Case Study in GreenOrbs Tsung-Yun Cheng
Signal Strength based Communication in Wireless Sensor Networks (Sensor Network Estimation) Imran S. Ansari EE 242 Digital Communications and Coding (Fall.
A Distributed Localization Scheme for Wireless Sensor Networks with Improved Grid-Scan and Vector- Based Refinement Jang-Ping Sheu, Pei-Chun Chen, and.
SOS: A Safe, Ordered, and Speedy Emergency Navigation Algorithm in Wireless Sensor Networks Andong Zhan ∗ †, Fan Wu ∗, Guihai Chen ∗ ∗ Shanghai Key Laboratory.
Sensor Positioning in Wireless Ad-hoc Sensor Networks Using Multidimensional Scaling Xiang Ji and Hongyuan Zha Dept. of Computer Science and Engineering,
Authors: Sheng-Po Kuo, Yu-Chee Tseng, Fang-Jing Wu, and Chun-Yu Lin
Mobility Limited Flip-Based Sensor Networks Deployment Reporter: Po-Chung Shih Computer Science and Information Engineering Department Fu-Jen Catholic.
Lifetime and Coverage Guarantees Through Distributed Coordinate- Free Sensor Activation ACM MOBICOM 2009.
Localization With Mobile Anchor Points in Wireless Sensor Networks
Stochastic sleep scheduling (SSS) for large scale wireless sensor networks Yaxiong Zhao Jie Wu Computer and Information Sciences Temple University.
WMNL Sensors Deployment Enhancement by a Mobile Robot in Wireless Sensor Networks Ridha Soua, Leila Saidane, Pascale Minet 2010 IEEE Ninth International.
Tracking with Unreliable Node Sequences Ziguo Zhong, Ting Zhu, Dan Wang and Tian He Computer Science and Engineering, University of Minnesota Infocom 2009.
Boundary Recognition in Sensor Networks by Topology Methods Yue Wang, Jie Gao Dept. of Computer Science Stony Brook University Stony Brook, NY Joseph S.B.
Energy Efficient Phone-to-Phone Communication Based on WiFi Hotspots in PSN En Wang 1,2, Yongjian Yang 1, and Jie Wu 2 1 Dept. of Computer Science and.
On Energy-Efficient Trap Coverage in Wireless Sensor Networks Junkun Li, Jiming Chen, Shibo He, Tian He, Yu Gu, Youxian Sun Zhejiang University, China.
KAIS T A Bidding Protocol for Deploying Mobile Sensors 발표자 : 권 영 진 Guiling Wang, Guohong Cao, Tom LaPorta The Pennsylvania State University IEEE, ICNP.
On Optimizing the Backoff Interval for Random Access Scheme Zygmunt J. Hass and Jing Deng IEEE Transactions on Communications, Dec 2003.
Distributed Monitoring and Aggregation in Wireless Sensor Networks INFOCOM 2010 Changlei Liu and Guohong Cao Speaker: Wun-Cheng Li.
EBAS: An Energy-Efficient Event Boundary Approximated Suppression Algorithm in Wireless Sensor Networks Longjiang Guo Heilongjiang University
RIDA: A Robust Information-Driven Data Compression Architecture for Irregular Wireless Sensor Networks Nirupama Bulusu (joint work with Thanh Dang, Wu-chi.
Relative Accuracy based Location Estimation in Wireless Ad Hoc Sensor Networks May Wong 1 Demet Aksoy 2 1 Intel, Inc. 2 University of California, Davis.
1 Shape Segmentation and Applications in Sensor Networks Xianjin Xhu, Rik Sarkar, Jie Gao Department of CS, Stony Brook University INFOCOM 2007.
A New Hybrid Wireless Sensor Network Localization System Ahmed A. Ahmed, Hongchi Shi, and Yi Shang Department of Computer Science University of Missouri-Columbia.
Secure and Energy-Efficient Disjoint Multi-Path Routing for WSNs Presented by Zhongming Zheng.
A Passive Approach to Sensor Network Localization Rahul Biswas and Sebastian Thrun International Conference on Intelligent Robots and Systems 2004 Presented.
1 Probabilistic Coverage in Wireless Sensor Networks Nadeem Ahmed, Salil S. Kanhere and Sanjay Jha Computer Science and Engineering, University of New.
A Power Assignment Method for Multi-Sink WSN with Outage Probability Constraints Marcelo E. Pellenz*, Edgard Jamhour*, Manoel C. Penna*, Richard D. Souza.
Central China Normal University A Cluster-based and Range Free Multidimensional Scaling-MAP Localization Scheme in WSN 1 Ke Xu, Yuhua Liu ( ), Cui Xu School.
Maximizing the lifetime of WSN using VBS Yaxiong Zhao and Jie Wu Computer and Information Sciences Temple University.
University “Ss. Cyril and Methodus” SKOPJE Cluster-based MDS Algorithm for Nodes Localization in Wireless Sensor Networks Ass. Biljana Stojkoska.
Cooperative Location- Sensing for Wireless Networks Authors : Haris Fretzagias Maria Papadopouli Presented by cychen IEEE International Conference on Pervasive.
C. Savarese, J. Beutel, J. Rabaey; UC BerkeleyICASSP Locationing in Distributed Ad-hoc Wireless Sensor Networks Chris Savarese, Jan Beutel, Jan Rabaey.
An Energy-Efficient Geographic Routing with Location Errors in Wireless Sensor Networks Julien Champ and Clement Saad I-SPAN 2008, Sydney (The international.
Joint Replication-Migration-based Routing in Delay Tolerant Networks Yunsheng Wang and Jie Wu Temple University Zhen Jiang Feng Li West Chester Unveristy.
GLIDER: Gradient Landmark-Based Distributed Routing for Sensor Networks Qing Fang, Jie Gao, Leonidas J. Guibas, Vin de Silva, Li Zhang Department of Electrical.
Computer Science 1 Using Clustering Information for Sensor Network Localization Haowen Chan, Mark Luk, and Adrian Perrig Carnegie Mellon University
Barrier Coverage in Camera Sensor Networks ACM MobiHoc 2011 Yi Wang Guohong Cao Department of Computer Science and Engineering The Pennsylvania State University.
By: Aaron Dyreson Supervising Professor: Dr. Ioannis Schizas
1 GPS-Free-Free Positioning System for Wireless Sensor Networks Farid Benbadis, Timur Friedman, Marcelo Dias de Amorim, and Serge Fdida IEEE WCCN 2005.
Cross-Layer Scheduling for Power Efficiency in Wireless Sensor Networks Mihail L. Sichitiu Department of Electrical and Computer Engineering North Carolina.
Mobile-Assisted Localization by Stitching in Wireless Sensor Networks IEEE ICC 2011 Han Wang, Wangdong Qi, Kun Wang, Peng Liu, Li Wei and Yasong Zhu PLA.
Jinfang Jiang, Guangjie Han, Lei Shu, Han-Chieh Chao, Shojiro Nishio
I-Hsin Liu1 Event-to-Sink Directed Clustering in Wireless Sensor Networks Alper Bereketli and Ozgur B. Akan Department of Electrical and Electronics Engineering.
LDTS: A Lightweight and Dependable Trust System for Clustered Wireless Sensor Networks 1 Presented by: Ting Hua Authors: Xiaoyong Li, Feng Zhou, and Junping.
Younghwan Yoo† and Dharma P. Agrawal‡ † School of Computer Science and Engineering, Pusan National University, Busan, KOREA ‡ OBR Center for Distributed.
On Mobile Sink Node for Target Tracking in Wireless Sensor Networks Thanh Hai Trinh and Hee Yong Youn Pervasive Computing and Communications Workshops(PerComW'07)
A Novel Virtual Anchor Node- based Localization Algorithm for Wireless Sensor Networks Pengxi Liu, Xinming Zhang, Shuang Tian, Zhiwei Zhao, Peng Sun Department.
KAIS T Sensor Deployment Based on Virtual Forces Reference: Yi Zou and Krishnendu Chakarabarty, “Sensor Deployment and Target Localization Based on Virtual.
Gang Wang, Shining Wu, Guodong Wang, Beixing Deng, Xing Li Tsinghua University Tsinghua Univ. Oct Experimental Study on Neighbor Selection Policy.
Optimal Relay Placement for Indoor Sensor Networks Cuiyao Xue †, Yanmin Zhu †, Lei Ni †, Minglu Li †, Bo Li ‡ † Shanghai Jiao Tong University ‡ HK University.
A Coverage-Preserving and Hole Tolerant Based Scheme for the Irregular Sensing Range in WSNs Azzedine Boukerche, Xin Fei PARADISE Research Lab Univeristy.
Wireless Access and Networking Technology (WANT) Lab. An Efficient Data Aggregation Approach for Large Scale Wireless Sensor Networks Globecom 2010 Lutful.
Connectivity-Aware Routing (CAR) in Vehicular Ad Hoc Networks Valery Naumov, Thomas R. Gross ETH Zurich, Switzerland IEEE INFOCOM 2007.
Localization for Anisotropic Sensor Networks
En Wang 1,2 , Yongjian Yang 1 , and Jie Wu 2
RealProct: Reliable Protocol Conformance Testing with Real Nodes for Wireless Sensor Networks Junjie Xiong
Edinburgh Napier University
Presentation transcript:

Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks Yun Wang,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple University, Philadelphia, PA INFOCOM 2010

Outline  Introduction  Method  Simulation  Conclusion

Introduction  Locations of sensor nodes are important for operations in WSNs.

Introduction  Performance heavily depends on the precision of distance estimation. Beacon node Sensor node

Introduction  In an anisotropic WSN, huge errors may be introduced into distance estimation because of irregular deployment. Beacon node Sensor node

Objective  Make the estimated distance ED(s,t) as close to its corresponding D(s,t) as possible. ED(s,t) D(s,t)D(s,t)

System model & Assumptions  Large number of sensor nodes in a WSN so that any node is able to obtain enough neighboring nodes with a limited flooding operation.

Overview  Constructing The Virtual Ruler Beacon node Sensor node Hole TN:Turning Node 10 12

Overview  Constructing The Virtual Ruler Beacon node Sensor node Hole TN:Turning Node 10 12

Calculation of Dominating Degree  Observation

Calculation of Dominating Degree  Obtain a set of surrounding nodes by executing a limited flooding operation from m. m Hole DD(n)=8 Avg_ DD(m)=7 DD(m)=6 Avg_ DD(m,n)-DD(m) =7-6=1 Threshold=2>1

Calculation of Dominating Degree  Obtain a set of surrounding nodes by executing a limited flooding operation from m. n1n1 n2n2 m n Hole

Calculation of Dominating Degree n1n1 n2n2 m DD(m)=6 Avg_ DD(m)=9 Avg_ DD(m,n)-DD(m)=3 Threshold=2<3

Distance Estimation s t n1n1 Predefined parameter indicating the increase in Scale after a turning node 3 5 (3+5)*factor =8*0.85= hole

Distance Estimation s t n1n1 n2n2 n3n3

Review  The Virtual Ruler Beacon node Sensor node Hole TN:Turning Node

Simulation  Implemented the above algorithms in C++  5548 nodes are randomly deployed  Average node degree 6.2

Simulation DV-Distance Our method

Simulation

Conclusion  Design and evaluate a new distance estimation scheme for anisotropic WSNs.

Thanks for your attention!!