Advanced Seminar A (202-2-1511)

Algorithms for Wireless Networks

Fall 2017


Announcements:


Instructor:

Matya Katz  ( matya@cs.bgu.ac.il ) 

Office hours: By appointment, Alon building (37), room 212, Tel: (08) 6461628

 

Class Time:

Wednesday 10-12  (building 34, room 303)

 


Course Description:

Wireless networks are everywhere and they raise several interesting algorithmic issues. This course deals with some of these issues, focusing on location and power optimization, interference avoidance, network lifetime, local routing, resilience, coverage, deployment of directional antennas, the SINR model, and more.

 


Bibliography:

A collection of recent and carefully sought papers on the above topics.

 

Date

Title

Presented by

8.11.2017

Aleksei V. Fishkin

Disk Graphs: A Short Survey

Gali Bar-On

 

M. V. Marathe, H. Breu, H. B. Hunt III, S. S. Ravi, D. J. Rosenkrantz

Simple Heuristics for Unit Disk Graphs

 

15.11.2017

Lefteris M. KirousisEvangelos KranakisDanny Krizanc, Andrzej Pelc
Power consumption in packet radio networks

Rachel Saban

Paz Carmi, Matthew J. Katz

Power Assignment in Radio Networks with Two Power Levels

 

Alon Efrat, S´andor P. Fekete, Poornananda R. Gaddehosur, Joseph S. B. Mitchell3, Valentin Polishchuk, Jukka Suomela

Improved Approximation Algorithms for Relay Placement

29.11.2017

P. Von Rickenbach , S. Schmid , R. Wattenhofer, A. Zollinger

A Robust Interference Model for Wireless Ad-Hoc Networks

Morad Muslimany

M. Korman

Minimizing interference in ad-hoc networks with bounded communication radius

 

R. Aschner, M. Katz, G. Morgenstern,

Do directional antennas facilitate in reducing interferences?

A. Bar-Noy, D. Rawitz, Peter Terlecky

Maximizing Barrier Coverage Lifetime with Mobile Sensors

17.1.2018

G. Aloupis, J. Cardinal, S. Collette, S. Langerman, D. Orden, P. Ramos

Decomposition of Multiple Coverings into More Parts

Tsahi Saporta

M. Gibson, K. Varadarajan

Decomposing Coverings and the Planar Sensor Cover Problem

 

Thomas Erlebach, Erik Jan van Leeuwen

Approximating geometric coverage problems

 

 

C. Avin, Y. Emek, E. Kantor, Z. Lotker, D. Peleg, L. Roditty

SINR Diagrams: Convexity and Its Applications in Wireless Networks

T. Kesselheim

A constant-factor approximation for wireless capacity maximization with power control in the SINR model

1.      T. Tonoyan

2.      Algorithms for Scheduling with Power Control in Wireless Networks

13.12.2017

F. Claude, R. Dorrigiv, S. Kamali, A. Lopez-Ortiz, P. Pralat, J. Romero, A. Salinger, D. Seco

Broadcasting in Conflict-Aware Multi-Channel Networks

Ahmad Droby

 

A. Dessmark, A. Pelc 

Broadcasting in geometric radio networks                                                                      

 

3.1.2018

H. Kaplan, W. Mulzer, L. Roditty, and P. Seiferth.

Routing in unit disk graphs

Reem Asam

27.12.2017

Gui Citovsky, Jie Gao, Joseph S. B. Mitchell, Jiemin Zeng

Exact and Approximation Algorithms for Data Mule Scheduling in a Sensor Network

Alaa Abd Alhaleem

 

S. Sankararaman, K. Abu-Affash, A. Efrat, S. D. Eriksson-Bique, V. Polishchuk, S. Ramasubramanian, M. Segal

Optimization Schemes for Protective Jamming

 

20.12.2017

CF-coloring

David Iliaev

10.1.2018

 

Shaked Matar

3.1.2018

Aviv Adler, Mark de Berg, Dan Halperin, Kiril Solovey

Efficient Multi-Robot Motion Planning for Unlabeled

Discs in Simple Polygons

Hanan Zaichyk

Use Beamer LaTeX class


Requirements:

·         This is a 1-credit course.

·         Students are required to attend all lectures and to actively participate in the seminar.

·         Each student will give a lecture based on material that I will provide her/him (usually, a scientific paper). The lecture will include a Beamer presentation prepared independently by the student. About one week before the date of the lecture and after he/she has prepared a first draft of the presentation, I will meet with the student to discuss unclear points, if any, and presentation issues, e.g., which parts of the paper to focus on.

·         At the end of each seminar meeting, each student will submit a one-page assignment that will be given at the beginning of the meeting and which will refer to the lecture(s) of that meeting.  

·         In addition, a few homework assignments are expected.

·         Final grade consists of presentation (60%), participation including class assignments (30%), HW (10%).



Last update January 7, 2018.