ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΥΠΡΟΥ
ΤΜΗΜΑ ΠΛΗΡΟΦΟΡΙΚΗΣ

ΕΠΛ 657: Wireless Networks

Academic Year 2011-2012, Spring Semester

Projects 2012

Projects Spring 2011, Projects Spring 2008, Projects Spring 2007, Projects Spring 2006, Projects Spring 2005Projects Spring 2003

TOPIC
NAME
RESOURCES
REPORTS
 
  • 3η εβδομάδα (1/2): Ανακοίνωση – Ανάθεση Θεμάτων
  • 5η εβδομάδα (15/2): Παρουσίαση στόχων – Σχέδιο εργασίας 5%
    • Παραδοτέο: Παρουσίαση (.ppt file)
  • 12η εβδομάδα (3/4) : Παρουσίαση έκθεσης προόδου 35%
    • Παραδοτέο: Παρουσίαση (.ppt file)
  • 13η εβδομάδα (25/4) : Τελική παρουσίαση εργασίας 60%
    • Σκοπός – Επιτεύγματα – Αποτελέσματα
    • Παραδοτέα: Hardcopy εργασίας (.pdf file), Παρουσίαση εργασίας (.ppt file)
     
1
  • Radio Resource Management in LTE and LTE-advanced

    The project will provide a very thorough and up to date survey of the state of the art in the RRM in LTE and LTE-advanced area, and define the open issues that worth to be studied.
Elias Salameh Christoforos Christoforou  
2      
3
  • Implementation of a nature-inspired congestion control protocol for WSNs on the Prowler simulator

    Prowler is a probabilistic wireless network simulator capable of simulating wireless distributed systems, from the application to the physical communication layer. Prowler, running under MATLAB, provides an easy way of application prototyping with nice visualization capabilities. Some screenshots about the simulation environment can be found here.
Charalampos Koptides Pavlos Antoniou  
4
  • Video Streaming over 3.5G Mobile WiMAX

    This project will investigate 3.5G mobile WiMAX features with respect to demanding medical video streaming services.
    A set of core scenarios already implemented in OPNET simulator will be customized accordingly to study the effect of novel mobile WiMAX features on transmitted medical video quality characteristics (quality, end-to-end delay, jitter). The scenarios will include MAC QoS Classes utilization, different loss propagation models, mobility and handover, and channel modulation and coding schemes.
Chrystalla Polyviou Andreas Panagides  
5
  • WLAN: IEEE802.11e

    Service prioritization, investigate video streaming and compare with IEEE 802.11a/b/g/n.
    Security issues in WLANs
Andreas Chadjidemetriou    
6
  • Wireless Broadband Network

    Survey of state of the art and deployment of a typical educational wireless broadband network (WIMAX, WIMESH)
Filippos Chatzimichael    
7
  • VoIP System evaluation in mobile networks.

    Evaluation of signalling protocols for session establishment. Influence of transport protocols (TCP, UDP, SCTP) on their performance
Theodora Antoniou    
8
  • Vehicular Ad-hoc Networks
    • Literature Review
    • Routing
    • Standardization

Giannis Kitromilides

Giorgos Chatzizorzis

Yiannos Mylonas  
9
  • Implementation of a Nature-Inspired Congestion Control technique in sensor network testbed

    An algorithm has already been designed for congestion control in NS2. The student in this project will need to implement an already defined algorithm in a real testbed of sensor nodes, obtain results and explain them.
Aristotelis Stylianou Pavlos Antoniou  
10
  • Energy Evaluation of a 6LoWPAN Wireless Sensor Network using POWER TOSSIMz Simulators

    Evaluation through POWER TOSSIMz simulator of the energy consumption of 6LoWPAN-enabled sensor motes. Energy-related evaluation needs to be performed for a multihop wireless networking scenario. The sensor motes operate with TinyOS operating system for sensor devices and they are enabled to the Internet/Web through blip, which is a 6LoWPAN implementation for the TinyOS. The project does not require programming in TinyOS, rather simulating the energy behavior of 6LoWPAN.
Sophoclis Hadjimichael Antreas Kamilaris  
11
  • Network Security-Fault/Virus Analysis

    Every sensor is prone to error failure which can be caused by natural causes such as environmental effects, battery discharging or by malicious invasion to the network. A fault in a sensor can decrease network performance and/or in the worst case scenario, dissolution of the network. Diagnosing faults in the network at an early stage can decrease the possibilities of tear down the network. Fault diagnosis can help identify the nature of the error; whether the error is a result of malicious intervention or of natural causes.

    The goal of the current project is to create,expand, and analyze viruses using statistical tool.

    Tools to be used: COOJA simulator
Giannos Dimitriou Christiana Ioannou  
12
  • GINSENG Topology Control implementation (more practical)

    The student will need to implement an existing algorithm designed for the purpose of GINSENG project in a contiki. The algorithm involves mechanisms building the network, allowing new nodes to enter, dealing with dead nodes and reconfiguring the network for optimizing performance.
     
13
  • Using mobility to mitigate congestion in Wireless Sensor Networks (more practical)

    By adding some nodes starting near the area of congestion towards the sink, alternated disjoint paths can be created to enable alterative paths for data sampled to reach the sink. If some mobile nodes move to form these newly created paths then congestion can be mitigated. An algorithm has already been designed for this purpose. The student in this project will need to implement an already defined algorithm in NS2, obtain simulation results and explain them.

 

Charalampos Sergiou  
14
  • Using mobility to maximize communication coverage or sensing coverage in Wireless Sensor Networks (theoretical/can be practical if decided to continue as thesis)

    Some areas in a WSN may not be covered. This may be caused by some obstacles not allowing nodes to communicate (or sense), or because nodes are far away from each other or even due to interference (for communication coverage only). These reasons may results in some coverage gaps. Some mobile nodes may move to the “best” locations and fill the gaps in order to maximize the coverage. The student will need to examine the existing algorithms which use mobile nodes to maximize the coverage of the network and come up with some ideas for improvements to them or even new approaches to solve these problems (e.g. an advantage of some algorithm, or a mechanism that one algorithm uses can be implemented to another to enhance it,). In addition to this the student may examine if any of the existing communication coverage and sensing coverage algorithms can be used from the one area to the other and vice versa.

 

Marios Koutroullos  
15
  • Using mobility to eliminate the energy hole problem in Wireless Sensor Networks (theoretical/can be practical if decided to continue as thesis)

    Some nodes consume more energy than others in WSNs and this results in the fact that the average energy of nodes in some areas is different to the one in other areas of the network. This project will involve investigating this scenario and existing algorithms which aim to overcome this energy hole problem. The student will need to come up with some ideas for improvements for these algorithms or even with new approaches to solving this problem.
  Marios Koutroullos  
16
  • Topology Control in WSNs

Kyriacos Christodoulou Marios Koutroullos  
17
  • Comparative Study of Tree Topology Construction Algorithms for Wireless Sensor Networks using the Atarraya simulation tool

    Objectives: The objective of this project is to study the performance and efficiency, of specific tree topology construction algorithms in WSNs and propose and implement any variation or a new algorithm that can provide better results than the algorithms under study.
    The topology control algorithms under study are:

    1. Source based trees found in HTAP [1]
    2. Sink Based Trees Found in DAlPaS [2]
    3. A3 Algorithm found in [3]

    Comparison of the algorithms can be performed on the following two experiments:

    1. Varying  the transmission range of the nodes
    2. Changing nodes density

    At least the following metrics must be examined and any other that are possible to occur during the study of the algorithms  

    1. Active number of nodes Vs Total number of nodes
    2. Total Energy Consumption Vs Total number of nodes
    3. Number of Exchanged Messages Vs Total Number of Nodes

    References:

    [1] http://www.cs.ucy.ac.cy/~vasosv/HTAP.pdf
    [2] http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5898912
    [3] http://www.cse.usf.edu/~labrador/Atarraya/files/Globecom2008.pdf

  Charalambos Sergiou  

University of Cyprus, Department of Computer Science, © 2012