HCRL: A Hop-Count-Ratio based Localization in Wireless Sensor Networks Sungwon Yang, Jiyoung Yi and Hojung Cha Department of Computer Science, Yonsei University,

Slides:



Advertisements
Similar presentations
Design of a reliable communication system for grid-style traffic light networks Junghoon Lee Dept. of Computer science and statistics Jeju National University.
Advertisements

1 Sensor Deployment and Target Localization Based on Virtual Forces Y. Zou and K. Chakrabarty IEEE Infocom 2003 Conference, pp ,. ACM Transactions.
1 An Energy-Efficient Unequal Clustering Mechanism for Wireless Sensor Networks Chengfa Li, Mao Ye, Guihai Chen State Key Laboratory for Novel Software.
Target Tracking Algorithm based on Minimal Contour in Wireless Sensor Networks Jaehoon Jeong, Taehyun Hwang, Tian He, and David Du Department of Computer.
Wireless Broadcasting with Optimized Transmission Efficiency Jehn-Ruey Jiang and Yung-Liang Lai National Central University, Taiwan.
Watermarking in WSNs Anuj Nagar CS 590. Introduction WSNs provide computational and Internet interfaces to the physical world. They also pose a number.
Localization from Mere Connectivity Yi Shang (University of Missouri - Columbia); Wheeler Ruml (Palo Alto Research Center ); Ying Zhang; Markus Fromherz.
On the Construction of Energy- Efficient Broadcast Tree with Hitch-hiking in Wireless Networks Source: 2004 International Performance Computing and Communications.
Novel Self-Configurable Positioning Technique for Multihop Wireless Networks Authors : Hongyi Wu Chong Wang Nian-Feng Tzeng IEEE/ACM TRANSACTIONS ON NETWORKING,
Probability Grid: A Location Estimation Scheme for Wireless Sensor Networks Presented by cychen Date : 3/7 In Secon (Sensor and Ad Hoc Communications and.
Delay-aware Routing in Low Duty-Cycle Wireless Sensor Networks Guodong Sun and Bin Xu Computer Science and Technology Department Tsinghua University, Beijing,
Yanyan Yang, Yunhuai Liu, and Lionel M. Ni Department of Computer Science and Engineering, Hong Kong University of Science and Technology IEEE MASS 2009.
Timing-sync Protocol for Sensor Networks (TPSN) Presenter: Ke Gao Instructor: Yingshu Li.
A Distributed Localization Scheme for Wireless Sensor Networks with Improved Grid-Scan and Vector- Based Refinement Jang-Ping Sheu, Pei-Chun Chen, and.
LPT for Data Aggregation in Wireless Sensor Networks Marc Lee and Vincent W.S. Wong Department of Electrical and Computer Engineering, University of British.
Sensor Positioning in Wireless Ad-hoc Sensor Networks Using Multidimensional Scaling Xiang Ji and Hongyuan Zha Dept. of Computer Science and Engineering,
Mobility Limited Flip-Based Sensor Networks Deployment Reporter: Po-Chung Shih Computer Science and Information Engineering Department Fu-Jen Catholic.
Dynamic Coverage Enhancement for Object Tracking in Hybrid Sensor Networks Computer Science and Information Engineering Department Fu-Jen Catholic University.
Introduction to Sensor Networks Rabie A. Ramadan, PhD Cairo University 3.
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.
2008/2/191 Customizing a Geographical Routing Protocol for Wireless Sensor Networks Proceedings of the th International Conference on Information.
Miao Zhao, Ming Ma and Yuanyuan Yang
Localization With Mobile Anchor Points in Wireless Sensor Networks
2015/10/1 A color-theory-based energy efficient routing algorithm for mobile wireless sensor networks Tai-Jung Chang, Kuochen Wang, Yi-Ling Hsieh Department.
WMNL Sensors Deployment Enhancement by a Mobile Robot in Wireless Sensor Networks Ridha Soua, Leila Saidane, Pascale Minet 2010 IEEE Ninth International.
Minimal Hop Count Path Routing Algorithm for Mobile Sensor Networks Jae-Young Choi, Jun-Hui Lee, and Yeong-Jee Chung Dept. of Computer Engineering, College.
IEEE Globecom 2010 Tan Le Yong Liu Department of Electrical and Computer Engineering Polytechnic Institute of NYU Opportunistic Overlay Multicast in Wireless.
Preserving Area Coverage in Wireless Sensor Networks by using Surface Coverage Relay Dominating Sets Jean Carle, Antoine Gallais and David Simplot-Ryl.
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.
Multi-hop-based Monte Carlo Localization for Mobile Sensor Networks
Location Estimation in Ad-Hoc Networks with Directional Antennas N. Malhotra M. Krasniewski C. Yang S. Bagchi W. Chappell 5th IEEE International Conference.
1 Mobile-Assisted Localization in Wireless Sensor Networks Nissanka B.Priyantha, Hari Balakrishnan, Eric D. Demaine, Seth Teller IEEE INFOCOM 2005 March.
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.
Probabilistic Coverage in Wireless Sensor Networks Authors : Nadeem Ahmed, Salil S. Kanhere, Sanjay Jha Presenter : Hyeon, Seung-Il.
Efficient Energy Management Protocol for Target Tracking Sensor Networks X. Du, F. Lin Department of Computer Science North Dakota State University Fargo,
A Reservation-based TDMA Protocol Using Directional Antennas (RTDMA-DA) For Wireless Mesh Networks Amitabha Das and Tingliang Zhu, Nanyang Technological.
1 Probabilistic Coverage in Wireless Sensor Networks Nadeem Ahmed, Salil S. Kanhere and Sanjay Jha Computer Science and Engineering, University of New.
Bounded relay hop mobile data gathering in wireless sensor networks
2017/4/25 INDOOR LOCALIZATION SYSTEM USING RSSI MEASUREMENT OF WIRELESS SENSOR NETWORK BASED ON ZIGBEE STANDARD Authors:Masashi Sugano, Tomonori Kawazoe,
Secure In-Network Aggregation for Wireless Sensor Networks
Performance Study of Localization Techniques in Zigbee Wireless Sensor Networks Ray Holguin Electrical Engineering Major Dr. Hong Huang Advisor.
Minimizing Recovery State In Geographic Ad-Hoc Routing Noa Arad School of Electrical Engineering Tel Aviv University Yuval Shavitt School of Electrical.
Maximizing Lifetime per Unit Cost in Wireless Sensor Networks
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.
KAIS T Using Mobile Relays to Prolong the Lifetime of Wireless Sensor Networks Wei Wang, Vikram Srinivasan, Kee-Chaing Chua MobiCom ‘05 Presentation by.
Barrier Coverage in Camera Sensor Networks ACM MobiHoc 2011 Yi Wang Guohong Cao Department of Computer Science and Engineering The Pennsylvania State University.
Hole Detection and Boundary Recognition in Wireless Sensor Networks Kun-Ying Hsieh ( 謝坤穎 ) Dept. of Computer Science and Information Engineering National.
Modeling End-to-end Distance for Given Number of Hops in Dense Planar Wireless Sensor Networks April Chan-Myung Kim
1 GPS-Free-Free Positioning System for Wireless Sensor Networks Farid Benbadis, Timur Friedman, Marcelo Dias de Amorim, and Serge Fdida IEEE WCCN 2005.
Global Clock Synchronization in Sensor Networks Qun Li, Member, IEEE, and Daniela Rus, Member, IEEE IEEE Transactions on Computers 2006 Chien-Ku Lai.
Centralized Transmission Power Scheduling in Wireless Sensor Networks Qin Wang Computer Depart., U. of Science & Technology Beijing Edward Y. Hua Wireless.
FERMA: An Efficient Geocasting Protocol for Wireless Sensor Networks with Multiple Target Regions Young-Mi Song, Sung-Hee Lee and Young- Bae Ko Ajou University.
Efficient Pairwise Key Establishment Scheme Based on Random Pre-Distribution Keys in Wireless Sensor Networks Source: Lecture Notes in Computer Science,
Jinfang Jiang, Guangjie Han, Lei Shu, Han-Chieh Chao, Shojiro Nishio
A Protocol for Tracking Mobile Targets using Sensor Networks H. Yang and B. Sikdar Department of Electrical, Computer and Systems Engineering Rensselaer.
Scalable and Robust Data Dissemination in Wireless Sensor Networks Wei Liu, Yanchao Zhang, Yuguang Fang, Tan Wong Department of Electrical and Computer.
Younghwan Yoo† and Dharma P. Agrawal‡ † School of Computer Science and Engineering, Pusan National University, Busan, KOREA ‡ OBR Center for Distributed.
Ecolocation: A Sequence Based Technique for RF Localization in Wireless Sensor Networks Kiran Yedavaliy*, Bhaskar Krishnamachariy*, Sharmila Ravulaz**
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)
Energy-Aware Target Localization in Wireless Sensor Networks Yi Zou and Krishnendu Chakrabarty IEEE (PerCom’03) Speaker: Hsu-Jui Chang.
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.
A Coverage-Preserving and Hole Tolerant Based Scheme for the Irregular Sensing Range in WSNs Azzedine Boukerche, Xin Fei PARADISE Research Lab Univeristy.
Distributed Localization Using a Moving Beacon in Wireless Sensor Networks IEEE Transactions on Parallel and Distributed System, Vol. 19, No. 5, May 2008.
Max do Val Machado Raquel A. F. Mini Antonio A. F. Loureiro DCC/UFMG DCC/PUC Minas DCC/UFMG IEEE ICC 2009 proceedings Advisor : Han-Chieh Chao Student.
Scalable Coverage Maintenance for Dense Wireless Sensor Networks Jun Lu, Jinsu Wang, Tatsuya Suda University of California, Irvine Secon ‘ 06.
Density-Aware Hop-Count Localization (DHL) in Wireless Sensor Networks with Variable Density Sau Yee Wong 1,2, Joo Chee Lim 1, SV Rao 1, Winston KG Seah.
Straight Line Routing for Wireless Sensor Networks Cheng-Fu Chou, Jia-Jang Su, and Chao-Yu Chen Computer Science and Information Engineering Dept., National.
Presentation transcript:

HCRL: A Hop-Count-Ratio based Localization in Wireless Sensor Networks Sungwon Yang, Jiyoung Yi and Hojung Cha Department of Computer Science, Yonsei University, Korea SECON 2007

Outline Introduction HCRL Mechanism Experiments Conclusion and future work

Introduction In WSNs, determining the positions of nodes is essential in many applications. EX. Coverage, Routing, Target tracking and etc. Localization is a fundamental component of sensor networks The cost for localization itself should be minimized

Introduction – DV-Hop y A C B A, Hop n 1 B, Hop n 2 C, Hop n 3 B, Hop n 9 C, Hop n 8 cAcA Average Hop Distance: c A DV-Hop needs flooding message twice. Sensor node Anchor node

Introduction - Goal In this paper, the author focus on developing a localization algorithm which provides both low-cost and accuracy. The authors aim to develop a localization scheme which requires less packet exchanging.

HCRL mechanism Assumption There are at least four anchor nodes in the network. HCRL only needs single flooding. Each sensor can control its transmitting power.

HCRL mechanism Apollonius Circle AP:BP=m:n, m≠n P O(x o,y o ) B(x B,y B ) A(x A,y A ) I(x I,y I ) E(x E,y E ) α α β β m n 2α+2β=180 o => α+β=90 o

HCRL mechanism – Basic

y A D B A, 2, (x A,y A ) B, 5, (x B,y B ) C, 3, (x C,y C ) D, 4, (x D,y D ) Sensor node Anchor node C

43 HCRL mechanism – Basic IDHop ABCDABCD y A D B C I AB y’ (30,40)(50,70) ( 41.43,57.14 ) E AB (110,160) O AB (75.72,108.57)

HCRL mechanism – Basic 500m x 500m random deployment Transmission range is 60m

HCRL mechanism - improved w x y z HC=1 HC=2 HC=3

HCRL mechanism - improved How the unknown node U5 collects the information?

HCRL mechanism - improved 500m x 500m random deployment Transmission range is 120m

Experiments Sensors: 36 Tmote Sky 4 anchor nodes on the verge of experimental field 32 normal nodes Comparison DV-Hop HCRL without subdivision HCRL with 2 subdivision

Experiments Average RSS vs. distance in an obstacle-free environment. The top of antenna is at a height of (a) 20cm and (b) 60cm.

Experiments (a) Grid network topology (b) random network topology

Experiments Localization error in grid topology The performance of each scheme was almost same.

Experiments Localization error difference in grid topology.

Experiments Localization error in random topology

Experiments Localization error difference in random topology

Conclusion and future work In this paper, the authors proposed a low cost and provided better localization accuracy. In the future, they plan to develop an environment-independent HCRL scheme.

END