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PhD program in Computing Science and Engineering Cycle 26 Evaluation study of DTN Routing Protocols for WSN data gothering environment Khalil Massri, Alessandro Vernata Supervisor. Prof. Andrea Vitaletti

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Page 1: PhD program in Computing Science and Engineering Cycle 26 Evaluation study of DTN Routing Protocols for WSN data gothering environment Khalil Massri, Alessandro

PhD program in Computing Science and EngineeringCycle 26

Evaluation study of DTN Routing Protocols for WSN data gothering environment

Khalil Massri, Alessandro VernataSupervisor. Prof. Andrea Vitaletti

Page 2: PhD program in Computing Science and Engineering Cycle 26 Evaluation study of DTN Routing Protocols for WSN data gothering environment Khalil Massri, Alessandro

• A brief overview of our recent work– Evaluating a number of DTN routing protocols

proposed recently in the literature using different mobility models in an environment of WSN for information gathering [1].

– We use the java based Opportunistic Network Environment simulator THE ONE [2]

– We have implemented some RPs and MMs (recently proposed) also modified others already existed in the simulator to adopt our environment.

Page 3: PhD program in Computing Science and Engineering Cycle 26 Evaluation study of DTN Routing Protocols for WSN data gothering environment Khalil Massri, Alessandro

• A proposed simulation senario for WSN data gathering…

See video clip snapshot

Page 4: PhD program in Computing Science and Engineering Cycle 26 Evaluation study of DTN Routing Protocols for WSN data gothering environment Khalil Massri, Alessandro

• For now we are using the following RPs – six included routing protocols [2]: Direct Delivery, First Contact,

Spray-and-Wait, PRoPHET, Max-Prop and Epidemic. we modify them to rout the message to any sink node

– Another three RPs are implemented by us• Context aware opportunistic routing (SCAR) [3]

• Fault-Tolerance Based Adaptive Data Delivery routing (FAD) [4]• Routing Based on Fuzzy Decision Mechanism (Fuzzy Spray) [5]

• With the following Mobility Models– Levy Walk [6] (implemented by us)

– Random Waypoint, Random Walk (already implemented in ONE) [2]

Page 5: PhD program in Computing Science and Engineering Cycle 26 Evaluation study of DTN Routing Protocols for WSN data gothering environment Khalil Massri, Alessandro

1. Our google code project link: http://code.google.com/p/evolving-dtn-routing/

2. [The ONE Simulator for DTN Protocol Evaluation, Ari Keränen, Jörg Ott, Teemu Kärkkäinen] http://www.netlab.tkk.fi/tutkimus/dtn/theone/

3. [Opportunistic Mobile Sensor Data Collection with SCAR, Bence P´asztor, Mirco Musolesi and Cecilia Mascolo]

4. [Delay/Fault-Tolerant Mobile Sensor Network (DFT-MSN): A New Paradigm for Pervasive Information Gathering, Yu Wang, Hongyi Wu]

5. [Fuzzy-Spray: Efficient Routing in Delay Tolerant Ad-hoc Network Based on Fuzzy Decision Mechanism, A. Mathurapoj, C. Pornavalai]

6. [On the Levy-walk Nature of Human Mobility: Do Humans Walk like Monkeys, Injong Rhee et al]

References