Riku Jantti Telecommunication Engineering at University of Vaasa, Finland Seong-Lyun Kim Electrical and Electronic Engineering, Yonsei University, Seoul,

Slides:



Advertisements
Similar presentations
Mission-based Joint Optimal Resource Allocation in Wireless Multicast Sensor Networks Yun Hou Prof Kin K. Leung Archan Misra.
Advertisements

Interference Cancellation in Two-Path Successive Relay System with Network Coding Chunbo Luo, Dr. Yu Gong & Prof. Fuchun Zheng School of Systems Engineering.
Shi Bai, Weiyi Zhang, Guoliang Xue, Jian Tang, and Chonggang Wang University of Minnesota, AT&T Lab, Arizona State University, Syracuse University, NEC.
Maximum Battery Life Routing to Support Ubiquitous Mobile Computing in Wireless Ad Hoc Networks By C. K. Toh.
Towards Energy Efficient and Robust Cyber-Physical Systems Sinem Coleri Ergen Wireless Networks Laboratory, Electrical and Electronics Engineering, Koc.
Target Tracking Algorithm based on Minimal Contour in Wireless Sensor Networks Jaehoon Jeong, Taehyun Hwang, Tian He, and David Du Department of Computer.
The Capacity of Wireless Ad Hoc Networks
WiOpt’03: Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks March 3-5, 2003, INRIA Sophia-Antipolis, France Session : Energy Efficiency.
Pricing What Can Pricing Do In Wireless Networks? Jianning Mai and Lihua Yuan
Speaker: Li-Sheng Chen 1 Jan 2, 2012 EOBDBR: an Efficient Optimum Branching-Based Distributed Broadcast Routing Protocol for Wireless Ad Hoc Networks.
WiOpt’04: Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks March 24-26, 2004, University of Cambridge, UK Session 2 : Energy Management.
Selected Data Rate Packet Loss Channel-error Loss Collision Loss Reduced Packet Probing (RPP) Multirate Adaptation For Multihop Ad Hoc Wireless Networks.
MAXIMIZING SPECTRUM UTILIZATION OF COGNITIVE RADIO NETWORKS USING CHANNEL ALLOCATION AND POWER CONTROL Anh Tuan Hoang and Ying-Chang Liang Vehicular Technology.
Steady and Fair Rate Allocation for Rechargeable Sensors in Perpetual Sensor Networks Zizhan Zheng Authors: Kai-Wei Fan, Zizhan Zheng and Prasun Sinha.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 2007 (TPDS 2007)
Joint Channel Assignment and Routing in Real Time Wireless Mesh Network Xiaoguang Li †, Changqiao Xu ‡ † College of Software Engineering, Southeast University,
07/21/2005 Senmetrics1 Xin Liu Computer Science Department University of California, Davis Joint work with P. Mohapatra On the Deployment of Wireless Sensor.
Constrained Green Base Station Deployment with Resource Allocation in Wireless Networks 1 Zhongming Zheng, 1 Shibo He, 2 Lin X. Cai, and 1 Xuemin (Sherman)
A Simple and Effective Cross Layer Networking System for Mobile Ad Hoc Networks Wing Ho Yuen, Heung-no Lee and Timothy Andersen.
Clustering in Mobile Ad hoc Networks. Why Clustering? –Cluster-based control structures provides more efficient use of resources for large dynamic networks.
1 Optimal Power Allocation and AP Deployment in Green Wireless Cooperative Communications Xiaoxia Zhang Department of Electrical.
Power-Balance Broadcast in Wireless Mobile Ad Hoc Networks Jang-Ping Sheu, Yu-Chia Chang, and Hsiu- Ping Tsai National Central University, Chung-Li, 32054,Taiwan.
SoftCOM 2005: 13 th International Conference on Software, Telecommunications and Computer Networks September 15-17, 2005, Marina Frapa - Split, Croatia.
On Renewable Sensor Networks with Wireless Energy Transfer IEEE INFOCOM 2011 Yi Shi, Liguang Xie, Y. Thomas Hou, Hanif D. Sherali.
1 Core-PC: A Class of Correlative Power Control Algorithms for Single Channel Mobile Ad Hoc Networks Jun Zhang and Brahim Bensaou The Hong Kong University.
Optimal Power Control, Rate Adaptation and Scheduling for UWB-Based Wireless Networked Control Systems Sinem Coleri Ergen (joint with Yalcin Sadi) Wireless.
An Energy-Efficient Flooding Algorithm in ad hoc Network (EFA) Concrete Mathematic Final presentation of term project Professor: Kwangjo KimKwangjo Kim.
Influence of Transmission Power on the Performance of Ad Hoc Networks Crystal Jackson SURE 2004.
Function Computation over Heterogeneous Wireless Sensor Networks Xuanyu Cao, Xinbing Wang, Songwu Lu Department of Electronic Engineering Shanghai Jiao.
Maximizing Lifetime of Ad Hoc Networks/WSNs Using Dynamic Broadcast Scheme Guofeng Deng.
Efficient Deployment Algorithms for Prolonging Network Lifetime and Ensuring Coverage in Wireless Sensor Networks Yong-hwan Kim Korea.
AUTONOMOUS DISTRIBUTED POWER CONTROL FOR COGNITIVE RADIO NETWORKS Sooyeol Im; Jeon, H.; Hyuckjae Lee; IEEE Vehicular Technology Conference, VTC 2008-Fall.
An Energy Efficient MAC Protocol for Wireless LANs Eun-Sun Jung Nitin H. Vaidya IEEE INFCOM 2002 Speaker :王智敏 研二.
Joint Scheduling and Power Control for Wireless Ad Hoc Networks Advisor: 王瑞騰 Student: 黃軍翰.
OPTIMUM INTEGRATED LINK SCHEDULING AND POWER CONTROL FOR MULTI-HOP WIRELESS NETWORKS Arash Behzad, and Izhak Rubin, IEEE Transactions on Vehicular Technology,
Power Control in Wireless Ad Hoc Networks Background An ad hoc network is a group of self configuring wireless nodes that lack infrastructure. Motivation—Power.
SIMPLE: Stable Increased Throughput Multi-hop Link Efficient Protocol For WBANs Qaisar Nadeem Department of Electrical Engineering Comsats Institute of.
An Energy-Efficient MAC Protocol for Wireless Sensor Networks Qingchun Ren and Qilian Liang Department of Electrical Engineering, University of Texas at.
Full auto rate MAC protocol for wireless ad hoc networks Z. Li, A. Das, A.K. Gupta and S. Nandi School of Computer Engineering Nanyang Technological University.
A Joint Bandwidth Allocation and Routing Scheme for the IEEE 802
Mohamed Elhawary Computer Science Department Cornell University PERCOM 2008 Zygmunt J. Haas Electrical and Computer Engineering Department Cornell University.
Dynamic Data Rate and Transmit Power Adjustment in IEEE Wireless LANs Pierre Chevillat, Jens Jelitto, and Hong Linh Truong IBM Zurich Research Laboratory.
Guinian Feng, Pingyi Fan Dept. of Electronic Engineerin Tsinghua University Beijing, China Soung Chang Liew Dept. of Information Engineering Chinese University.
Energy-aware Node Placement in Wireless Sensor Networks Global Telecommunications Conference 2004 (Globecom 2004) Peng Cheng, Chen-Nee Chuah Xin Liu UCDAVIS.
Variable Bandwidth Allocation Scheme for Energy Efficient Wireless Sensor Network SeongHwan Cho, Kee-Eung Kim Korea Advanced Institute of Science and Technology.
Power Controlled Network Protocols for Multi- Rate Ad Hoc Networks Pan Li +, Qiang Shen*, Yuguang Fang +, and Hailin Zhang # +: EE, Florida University.
1 A Multi-Rate Routing Protocol with Connection Entropy for MANETs Cao Trong Hieu, Young Cheol Bang, Jin Ho Kim, Young An Kim, and Choong Seon Hong Presenter:
Delivery ratio-maximized wakeup scheduling for ultra-low duty-cycled WSNs under real-time constraints Fei Yang, Isabelle Augé-Blum National Institute of.
Multicast Recipient Maximization in IEEE j WiMAX Relay Networks Wen-Hsing Kuo † ( 郭文興 ) & Jeng-Farn Lee ‡ ( 李正帆 ) † Department of Electrical Engineering,
Utilization Based Duty Cycle Tuning MAC Protocol for Wireless Sensor Networks Shih-Hsien Yang, Hung-Wei Tseng, Eric Hsiao-Kuang Wu, and Gen-Huey Chen Computer.
An Enhanced Cross-Layer Protocol for Energy Efficiency in Wireless Sensor Networks Jaehyun Kim, Dept. of Electrical & Electronic Eng., Yonsei University;
Cooperative Communication
Saran Jenjaturong, Chalermek Intanagonwiwat Department of Computer Engineering Chulalongkorn University Bangkok, Thailand IEEE CROWNCOM 2008 acceptance.
1 Architecture and Behavioral Model for Future Cognitive Heterogeneous Networks Advisor: Wei-Yeh Chen Student: Long-Chong Hung G. Chen, Y. Zhang, M. Song,
Wireless Sensor Networks M Homework #1. Part 1 Consider two sensor devices (one transmitter and one receiver) IEEE standard- compliant. Assume.
Exploiting Sink Mobility for Maximizing Sensor Networks Lifetime Z. Maria Wang, Emanuel Melachrinoudis Department of Mechanical and Industrial Engineering.
A Maximum Fair Bandwidth Approach for Channel Assignment in Wireless Mesh Networks Bahador Bakhshi and Siavash Khorsandi WCNC 2008.
Hop Optimization and Relay Node Selection in Multi-hop Wireless Ad- hoc Networks Xiaohua (Edward) Li Department of Electrical and Computer Engineering.
Joint Routing and Scheduling Optimization in Wireless Mesh Networks with Directional Antennas A. Capone, I. Filippini, F. Martignon IEEE international.
-1/16- Maximum Battery Life Routing to Support Ubiquitous Mobile Computing in Wireless Ad Hoc Networks C.-K. Toh, Georgia Institute of Technology IEEE.
Department of Electrical Engineering, National Taiwan University of Science and Technology EURASIP Journal on Wireless Communications and Networking.
Power-Aware Topology Control for Wireless Ad-Hoc Networks Wonseok Baek and C.-C. Jay Kuo Department of Electrical Engineering University of Southern California.
RTLAB Real-Time Systems Lab. Kyungpook National University School of Electrical Engineering and Computer Science Sung Ho Park Message Ferrying: Proactive.
Xiaohua (Edward) Li and Juite Hwu
Energy Management System in Ad Hoc Wireless Networks
IEEE Student Paper Contest
Routing in Ad Hoc Networks: A Case for Long Hops
Hemant Kr Rath1, Anirudha Sahoo2, Abhay Karandikar1
Maximizing Broadcast Tree Lifetime in Wireless Ad Hoc Networks
Power Efficient Communication ----Joint Routing, Scheduling and Power Control Design Presenter: Rui Cao.
Presentation transcript:

Riku Jantti Telecommunication Engineering at University of Vaasa, Finland Seong-Lyun Kim Electrical and Electronic Engineering, Yonsei University, Seoul, Korea. IEEE TWC, Vol. 5, No. 5, May 2006

+ Introduction + Network model + Iterative algorithm for maximum lifetime routing problem + Numerical Example + Conclusion

+ Wireless ad hoc network – Low battery capacity – High data rate – Low interference + Previous works – Power control scheme works on a single link – Rate adapt scheme works on a single link

+ Carrier-to-interference + Function of Rate

+ Probability of transmission φ ij is defined on link(i,j) = Bit-energy-to-interference+noise-power-density

+ Transmission Energy Allocation + Transmission Time and Power Allocation + Transmission Rate Allocation

For link(1,3) Node 1: 1) Transmission Energy Allocation a. Chose a suitable power 2) Transmission Time and Power Allocation a. Find the network life time 3) Transmission Rate Allocation a. Based on 1) and 2) to select the transmission rate p1 p4

Ps = 50mW Pt = 800mW Pr = 400mW W = 1 MHz Γ (p) = 5 dbm

+ Joint routing and Rate allocation – Maximizing the network life time + Increase transmission power – Lower interference – Higher data rate – For other nodes, the energy consumption is lower