An Efficient Routing Protocol for Green Communications in Vehicular Ad-hoc Networks Jamal Toutouh, Enritue Alba GECCO’ 11, July Presented by 劉美妙.

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An Efficient Routing Protocol for Green Communications in Vehicular Ad-hoc Networks Jamal Toutouh, Enritue Alba GECCO’ 11, July Presented by 劉美妙

Outline  Introduction  Related work  OLSR and DE-OLSR  Methodology  VANET scenario definition  Network specification  Energy consumption model  Results  Conclusions

Introduction  The energy consumption (CO2 emissions) by wireless communications becomes a major concern and the use of environmentally sound communications (Green Communications), as poweraware network architecture and protocols design, are highly desirable.  In the present work, we are aimed at studying the energy efficiency of DE-OLSR routing protocol, a QoS optimized version of OLSR by means of the Differential Evolution (DE) metaheuristic.

Related work Compute optimal transmission range adjustments based on the geographic data and some energy model Improve the energy-efficiency in ad hoc networks consists in putting as many as possible nodes into the sleeping state Developed in IEEE power save mechanism (PSM) Utilize transmission range adjustment and PSM together to achieve energy efficiency  Different mechanisms for saving energy in wireless communication systems have been proposed.

OLSR  Optimized Link State Routing protocol (OLSR) is a proactive link-state routing protocol designed for mobile ad hoc networks (MANETs and VANETs) with low bandwidth and high mobility.  OLSR relies on employing an efficient periodic flooding of control information messages using special nodes that act as multipoint relays (MPRs).  Neighborhood discovery  HELLO and MID (multiple interface declaration) protocol information messages  Topology dissemination  TC (topology control) messages broadcasted by MPRs

DE-OLSR  DE-OLSR is an efficiently and automatically tuned version of OLSR by means of an off-line optimization strategy.  Differential Evolution (DE) metaheuristic  This algorithm is specifically designed to optimize real valued (continuous) parameters with different ranges.

Methodology : VANET scenario definition  Trade-off between power consumption and performance  Three different urban VANET scenarios named U1, U2, and U3 from real areas of the downtown of M´alaga, Spain

Network specification

Energy consumption model , : require power for sending and receiving data in transmitting and receiving states. , : the energy is computed according to the network interface card (NIC) characteristics of electric current , : power supply 

Results  Analyzed the energy-efficiency of DE-OLSR and OLSR in two different ways:  the power consumption by the routing protocol operation (control message exchanges)  the energy by the CBR packets forwarding and the medium access control

Conclusion  DE-OLSR is an optimized routing protocol in terms of QoS but its authors did not take into account the energy efficiency when it was proposed.  Therefore, the methodology of obtaining efficient routing protocols by using metaheuristics can be extended by taking into account the power consumption, defining new environmentally efficient protocols.

每週一句  This is because the behavior of the nodes is different in larger VANET scenarios since their mobility increases caused by the existence of more roads to travel through.  "cause" is a noun and a verb. To cause trouble.  例句 : Johnny was the cause of the trouble.  "Because" is a connector word, followed by a verb or a verb phrase:  例句 : I did it because she told me to.  Sometimes "because" is abbreviated to "'cause" in informal or careless speech  例句 : I did it 'cause she told me to.

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