2009-05-09

[Mycolleagues] [ACM FOWANC09] CALL FOR PARTICIPATION

CALL FOR PARTICIPATION

 

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The Second ACM International Workshop on Foundations of Wireless

Ad Hoc and Sensor Networking and Computing (FOWANC 2009)

 

New Orleans, LA, USA

May 18, 2009

 

http://nrl.uncc.edu/FOWANC/

 

In conjunction with ACM MobiHoc 2009

Sponsored by ACM SIGMOBILE  

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CONFERENCE THEME

 

Recent research in a variety of wireless ad hoc networks, such as mobile ad hoc

networks (MANETs), wireless mesh networks, wireless sensor networks, wireless

personal area networks, vehicular networks, RFID networks, and hybrid networks,

raises a number of interesting, and difficult, theoretical and algorithmic issues.

This workshop is devoted to distributed algorithms and theoretical methods in the

context of mobile ad hoc and sensor networking and computing. The workshop is

intended to foster cooperation among researchers in mobile ad hoc and sensor

networking and theoreticians in algorithm and theory, and push the theoretical

research forward for a deeper understanding about ad hoc and sensor networking

and computing.

 

This workshop covers the all areas of ad hoc and sensor networking and computing,

from physical issues up to applications, with a focus of theoretical and algorithmic

aspect. In particular, it will cover distributed algorithms, optimizations, analysis

and modeling, randomized algorithms, mechanism design, and theoretical methods in

ad hoc and sensor networking and computing.

 

KEYNOTE SPEECH

 

On Self-Organization in MANETs (Prof. Jie Wu, Florida Atlantic University)

 

Abstract

The dynamic nature and network complexity of MANETs requires self organization

to reduce the administrative need and complexity in network installation,

maintenance, and management. We first show several network functions of MANETs

that can be designed in a self-organized way, including topology control and

the construction of connected dominating sets (CDS).  An in-depth study of a

self-organized scheme for CDS construction and the use of CDS for efficient

broadcast in MANETs is presented.  This scheme selects a small subset of nodes

locally to form a forward node set to carry out the  broadcast process. 

Various design options and trade-offs are also discussed. Finally, we show

that our design coincidentally meets the Prehofer and Bettstetter's four

design paradigms recently proposed for developing a self-organized network

function.

 

 

TECHNICAL PROGRAM (May 18, 2009)

 

Keynote Address (9:00-1:00am)

On Self-Organization in MANETs, (Prof. Jie Wu, Florida Atlantic University)

 

Session 1: Ad Hoc Networks (10:15am-12:15pm)

Wireless Link Scheduling under a Graded SINR Interference Model (Paolo Santi,

Ritesh Maheshwari, Giovanni Resta, Samir Das, and Douglas Blough)

 

A Constant Approximation Algorithm for Link Scheduling in Arbitrary Networks

With Physical Interference Model (Xiaohua Xu and Shaojie Tang)

 

On the Multicast Throughput Capacity of Network Coding in Wireless Ad-hoc

Networks (Shirish Karande, Zheng Wang, Hamid Sadjadpour, and JJ Garcia-luna-aceves)

 

On a Locally Minimum Cost Forwarding Game (Stephan Eidenbenz, Gunes Ercal-Ozkaya,

Adam Meyerson, and Allon G. Percus)

 

Session 2: Sensor Networks I (1:30-3:00pm)

A 3D-Localization and Terrain Modeling Technique for Wireless Sensor Networks

(Hady AbdelSalam and Stephan Olariu )

 

 

An Improved Approximation Algorithm for Data Aggregation in Multi-hop Wireless

Sensor Networks (Xiaohua Xu, Shiguang Wang, Xufei Mao, Shaojie Tang, and Xiangyang Li)

 

 

Can a Packet Walk Straight Through a Field of Randomly Dying Location-Unaware

Wireless Nodes? (Silvija Kokalj-Filipovic, Predrag Spasojevic, and Roy Yates)

 

 

Session 3: Sensor Networks II (3:30-5:00pm)

Passive Localization Using Rotating Anchor Pairs in Wireless Sensor Networks

(Hady AbdelSalam and Stephan Olariu)

 

 

Spatio-Temporal Monitoring using Contours in Large-scale Wireless Sensor Networks

(Hadi Alasti and Asis Nasipuri)

 

Reactive Jamming Attacks in Multi-Radio Wireless Sensor Networks: An Efficient

Mitigating Measure by Identifying Trigger Nodes (Incheol Shin, Yilin Shen,

Ying Xuan, My Thai, and Taieb Znati)

 

 

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