A Message Ferrying Approach for Data Delivery in Sparse Mobile Ad Hoc Networks Reporter: Yanlin Peng Wenrui Zhao, Mostafa Ammar, College of Computing,

Slides:



Advertisements
Similar presentations
Mobility Entropy and Message Routing in Community-Structured Delay Tolerant Networks Hideya Ochiai Hiroshi Esaki The University of Tokyo / NICT Asia Future.
Advertisements

ROUTING IN INTERMITTENTLY CONNECTED MOBILE AD HOC NETWORKS AND DELAY TOLERANT NETWORKS: OVERVIEW AND CHALLENGES ZHENSHENG ZHANG.
Multicasting in Mobile Ad hoc Networks By XIE Jiawei.
Enhancing DTN capacity with Throwboxes (work-in-progress)
* Distributed Algorithms in Multi-channel Wireless Ad Hoc Networks under the SINR Model Dongxiao Yu Department of Computer Science The University of Hong.
6LoWPAN Extending IP to Low-Power WPAN 1 By: Shadi Janansefat CS441 Dr. Kemal Akkaya Fall 2011.
A 2 -MAC: An Adaptive, Anycast MAC Protocol for Wireless Sensor Networks Hwee-Xian TAN and Mun Choon CHAN Department of Computer Science, School of Computing.
SELF-ORGANIZING MEDIA ACCESS MECHANISM OF A WIRELESS SENSOR NETWORK AHM QUAMRUZZAMAN.
Decentralized Reactive Clustering in Sensor Networks Yingyue Xu April 26, 2015.
Presented By- Sayandeep Mitra TH SEMESTER Sensor Networks(CS 704D) Assignment.
CSE 6590 Department of Computer Science & Engineering York University 1 Introduction to Wireless Ad-hoc Networking 5/4/2015 2:17 PM.
802.11a/b/g Networks Herbert Rubens Some slides taken from UIUC Wireless Networking Group.
A Mobile Infrastructure Based VANET Routing Protocol in the Urban Environment School of Electronics Engineering and Computer Science, PKU, Beijing, China.
Message Ferrying Approach for Data Delivery in Sparse Mobile Ad Hoc Networks Wenrui Zhao, Mostafa Ammar, and Ellen Zegura (2004) Presented by Justin Yackoski.
By Libo Song and David F. Kotz Computer Science,Dartmouth College.
A Message Ferrying Approach for Data Delivery in Sparse Mobile Ad Hoc Networks Wenrui Zhao, Mostafa Ammar and Ellen Zegura Presentation by: Carlos Castillo.
Accommodating the Disruption-Tolerant Network Paradigm within GENI Mostafa Ammar College of Computing Georgia Institute of Technology Atlanta, GA.
1 On Handling QoS Traffic in Wireless Sensor Networks 吳勇慶.
1-1 Topology Control. 1-2 What’s topology control?
Online Data Gathering for Maximizing Network Lifetime in Sensor Networks IEEE transactions on Mobile Computing Weifa Liang, YuZhen Liu.
Di Wu 03/03/2011 Geographic Routing in Clustered Multi-layer Vehicular Ad Hoc Networks for Load Balancing Purposes.
Mechanical Transport of Bits - Part II Jue Wang and Runhe Zhang EE206A In-class presentation May 5, 2004.
Component-Based Routing for Mobile Ad Hoc Networks Chunyue Liu, Tarek Saadawi & Myung Lee CUNY, City College.
VADD: Vehicle-Assisted Data Delivery in Vehicular Ad-hoc Networks
August 6, Mobile Computing COE 446 Network Planning Tarek Sheltami KFUPM CCSE COE Principles of.
Yanyan Yang, Yunhuai Liu, and Lionel M. Ni Department of Computer Science and Engineering, Hong Kong University of Science and Technology IEEE MASS 2009.
1 Energy Efficient Communication in Wireless Sensor Networks Yingyue Xu 8/14/2015.
Itrat Rasool Quadri ST ID COE-543 Wireless and Mobile Networks
MOBILE AD-HOC NETWORK(MANET) SECURITY VAMSI KRISHNA KANURI NAGA SWETHA DASARI RESHMA ARAVAPALLI.
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.
Grammati Pantziou 1, Aristides Mpitziopoulos 2, Damianos Gavalas 2, Charalampos Konstantopoulos 3, and Basilis Mamalis 1 1 Department of Informatics, Technological.
On-Demand Traffic-Embedded Clock Synchronization for Wireless Sensor Networks Sang Hoon Lee.
A Study of Live Video Streaming over Highway Vehicular Ad hoc Networks Meenakshi Mittal ©2010 International Journal of Computer Applications ( )Volume.
Delay and Disruption Tolerant Networks Mostafa Ammar College of Computing Georgia Institute of Technology Atlanta, GA In Collaboration: Ellen Zegura (GT),
Patch Based Mobile Sink Movement By Salman Saeed Khan Omar Oreifej.
1 EnviroStore: A Cooperative Storage System for Disconnected Operation in Sensor Networks Liqian Luo, Chengdu Huang, Tarek Abdelzaher John Stankovic INFOCOM.
1 An Adaptive Energy-Efficient and Low-Latency MAC for Data Gathering in Wireless Sensor Network Gang Lu, Bhaskar Krishnamachari, and Cauligi Raghavendra.
MANETS Justin Champion Room C203, Beacon Building Tel 3292,
ENERGY-EFFICIENT FORWARDING STRATEGIES FOR GEOGRAPHIC ROUTING in LOSSY WIRELESS SENSOR NETWORKS Presented by Prasad D. Karnik.
Lan F.Akyildiz,Weilian Su, Erdal Cayirci,and Yogesh sankarasubramaniam IEEE Communications Magazine 2002 Speaker:earl A Survey on Sensor Networks.
Group 3 Sandeep Chinni Arif Khan Venkat Rajiv. Delay Tolerant Networks Path from source to destination is not present at any single point in time. Combining.
ALeRT Project Georgia Tech and UMass Amherst DARPA DTN Meeting 2 August 2005 Washington, DC.
Rushing Attacks and Defense in Wireless Ad Hoc Network Routing Protocols ► Acts as denial of service by disrupting the flow of data between a source and.
Presenter: Abhishek Gupta Dept. of Electrical and Computer Engineering
PRoPHET+: An Adaptive PRoPHET- Based Routing Protocol for Opportunistic Network Ting-Kai Huang, Chia-Keng Lee and Ling-Jyh Chen.
Outline Introduction Existing solutions for ad hoc
University of Colorado at Boulder
A Message Ferrying Approach for Data Delivery in Sparse Mobile Ad Hoc Networks Wenrui Zhao, Mostafa Ammar and Ellen Zegura College of Computing, Georgia.
1 G-REMiT: An Algorithm for Building Energy Efficient Multicast Trees in Wireless Ad Hoc Networks Bin Wang and Sandeep K. S. Gupta Computer Science and.
Copyright © 2011, Scalable and Energy-Efficient Broadcasting in Multi-hop Cluster-Based Wireless Sensor Networks Long Cheng ∗ †, Sajal K. Das†,
A Wakeup Scheme for Sensor Networks: Achieving Balance between Energy Saving and End-to-end Delay Xue Yang, Nitin H.Vaidya Department of Electrical and.
Forwarding Group Multicast Protocol (FGMP) for Multihop, Mobile Wireless Networks Speaker : Wilson Lai Date : Ching-Chuan Chiang, Mario Gerla.
S. K. S. Gupta, Arizona State Univ On Maximizing Lifetime of Multicast Trees in Wireless Ad hoc Networks Bin Wang and Sandeep K. S. Gupta Computer Science.
November 4, 2003Applied Research Laboratory, Washington University in St. Louis APOC 2003 Wuhan, China Cost Efficient Routing in Ad Hoc Mobile Wireless.
Efficient Resource Allocation for Wireless Multicast De-Nian Yang, Member, IEEE Ming-Syan Chen, Fellow, IEEE IEEE Transactions on Mobile Computing, April.
Self-stabilizing energy-efficient multicast for MANETs.
Energy Efficient Data Management for Wireless Sensor Networks with Data Sink Failure Hyunyoung Lee, Kyoungsook Lee, Lan Lin and Andreas Klappenecker †
Ben Miller.   A distributed algorithm is a type of parallel algorithm  They are designed to run on multiple interconnected processors  Separate parts.
On Multihop Communications For In-Vehicle Internet Access Based On a TDMA MAC Protocol Hassan Aboubakr Omar ∗, Weihua Zhuang ∗, and Li Li† ∗ Department.
Efficient Geographic Routing in Multihop Wireless Networks Seungjoon Lee*, Bobby Bhattacharjee*, and Suman Banerjee** *Department of Computer Science University.
Courtesy Piggybacking: Supporting Differentiated Services in Multihop Mobile Ad Hoc Networks Wei LiuXiang Chen Yuguang Fang WING Dept. of ECE University.
KAIS T Location-Aided Flooding: An Energy-Efficient Data Dissemination Protocol for Wireless Sensor Networks Harshavardhan Sabbineni and Krishnendu Chakrabarty.
VADD: Vehicle-Assisted Data Delivery in Vehicular Ad Hoc Networks Zhao, J.; Cao, G. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 鄭宇辰
Wireless sensor and actor networks: research challenges Ian. F. Akyildiz, Ismail H. Kasimoglu
-1/16- Maximum Battery Life Routing to Support Ubiquitous Mobile Computing in Wireless Ad Hoc Networks C.-K. Toh, Georgia Institute of Technology IEEE.
An Efficient Routing Protocol for Green Communications in Vehicular Ad-hoc Networks Jamal Toutouh, Enritue Alba GECCO’ 11, July Presented by 劉美妙.
RTLAB Real-Time Systems Lab. Kyungpook National University School of Electrical Engineering and Computer Science Sung Ho Park Message Ferrying: Proactive.
DELAY TOLERANT NETWORK
Energy-Efficient Communication Protocol for Wireless Microsensor Networks by Wendi Rabiner Heinzelman, Anantha Chandrakasan, and Hari Balakrishnan Presented.
Introduction to Wireless Sensor Networks
Presentation transcript:

A Message Ferrying Approach for Data Delivery in Sparse Mobile Ad Hoc Networks Reporter: Yanlin Peng Wenrui Zhao, Mostafa Ammar, College of Computing, Georgia Institute of Technology

Overview Introduction Message Ferrying scheme Performance Evaluation

Introduction

Project Message Ferrying for Sparse and Disconnected Mobile NetworksMessage Ferrying for Sparse and Disconnected Mobile Networks

Publication Involved –"Controlling the Mobility of Multiple Data Transport Ferries in a Delay-Tolerant Network," IEEE INFOCOM 2005, –"A Message Ferrying Approach for Data Delivery in Sparse Mobile Ad Hoc Networks," Proceedings of ACM Mobihoc 2004, Tokyo Japan, May –"Message Ferrying: Proactive Routing in Highly- Partitioned Wireless Ad Hoc Networks," Proceedings of the IEEE Workshop on Futrure Trends in Distributed Computing Systems, Puerto Rico, May 2003

Scenarios Disconnected or partitioned network –Battlefield & natural and human-made disaster events –For applications which can tolerate significant transfer delay Solutions – message ferrying –New devices to store, carry and forward messages –Non-random movement of ferries –A proactive approach for routing in disconnected ad hoc networks

Potential applications Crisis-driven –battlefield and disaster applications, otherwise no connections Geography-driven –wide area sensing and surveillance applications. Cost-driven –DakNet project, providing low cost access for village Service-driven –by-passing the existing infrastructure to obtain a different service

Other solutions Reactive –Epidemic routing –Modified epidemic routing Proactive –mobile nodes actively modify their trajectories in order to transmit messages as soon as possible

Message Ferrying Scheme

Functions Message Ferries –A set of devices take responsibility for carrying messages between disconnected nodes –Move around the deployed area according to known routes and communicate with other nodes they meet Regular nodes (non-ferries) –With knowledge of the ferry routes, nodes can adapt their trajectories to meet the ferries and transmit or receive messages

Example The ferry moves on a know route. The sending node S actively approaches the ferry and forwards its messages to the ferry.

Example The ferry goes on moving on the know route. The receiving node R actively approaches the ferry and receives the messages. The messages are delivered from S to R.

MF system – ferries An MF system may have one or more ferries, which may operate completely independently of each other or their movements may be coordinated. While the ferry is always a mobile entity, the regular nodes can be stationary or mobile. Ferries can be either specially designated nodes or regular nodes temporarily elevated. –In the former case, a ferry’s resources (power, memory, disk storage) are not as limited as typical nodes. –For the latter case, there is, of course, the question of when and how to change node designation.

MF system – non-ferries The regular nodes may operate independently to deliver to and receive from the ferry, or coordinate with each other to form connected clusters. Within a cluster, one or more gateway nodes are in charge of communicating with the ferry. When the ferry is in range of multiple nodes, some policy is used to schedule the transmission and reception of nodes.

Ferry Mobility Task-oriented (non-messaging reasons) –Piggybacking a ferry on a metropolitan area bus. Messaging-oriented (specifically designed for improving the performance of messaging) –The ferry is implemented in a subset of robots dispersed in a disaster area, and the mobility of the ferry robots is specifically optimized for maximizing the efficiency of messaging among the other robots.

Node-Initiated MF (NIMF) scheme ferries move around the deployed area according to known routes and communicate with other nodes they meet. With knowledge of ferry routes, nodes periodically move close to a ferry and communicate with the ferry.

Node operations Status machine Trajectory Control –Tradeoff between data delivery and degradation in assigned tasks resulting from such proactive movement.

Ferry-Initiated MF (FIMF) scheme Ferries move proactively to meet nodes. When a node wants to send packets to other nodes or receive packets, it generates a service request and transmits it to a chosen ferry using a long range radio1. Upon reception of a service request, the ferry will adjust its trajectory to meet up with the node and exchange packets using short range radios.

Example Default route Node Status Ferry Status

Controls Node Notification Control –Factors: message drops, ferry location and energy consumption Ferry Trajectory Control –how the ferry controls its trajectory to meet nodes with the goal of minimizing message drops.

Performance Evaluation Metrics –data delivery message delivery rate message delay –energy delivered messages per unit energy

Impact of node buffer size

Impact of WTP threshold on NIMF performance

More Concerns Multiple Ferries –extended to the case with multiple ferries Contention. –transmission contention –buffering contention MAC protocol, transmission schedule algorithm Coordination among Regular Nodes Long Range Communication

Questions&Comments?