Summary:
Among the trends in ICT is virtualization in order to find ways to reduce the amount of dedicated resources needed for an
individual computer user. The non-stop increase in data generation will require us to have more and more storage devices.
Although these devices are becoming less expensive, they still need power to operate them and mechanisms to cool them. It is
expected that providing applications via mobile tools will continue growing rapidly. This will entail more server capability and
rise in the demand for computing power in data centers. This is also a potential area for virtualization. Due to virtualization and
integration, data centers are now able to push more into a rack. This has lead to an increase in the power consumption per square
foot by a factor of 10 or so. Cloud computing is becoming more and more popular as it provides scalable and resilient IT-enabled
resources using the Internet means.
In addition to the trends and challenges in green ICT, we will be presenting some of our related research works. We propose a
Dynamic Energy Efficient and Secure Routing Protocol for Wireless Sensor Networks in Urban Environments, DEESR. A
decision is made by every node based on various parameters like longevity, distance, and battery power, which measure the node
and link quality to decide the next hop in the route. This ensures that the total load is distributed evenly while conserving the
energy of battery-constrained nodes. The protocol also maintains a trusted population for each node through Dynamic Trust
Factor (DTF), which ensures secure communication in the environment by gradually isolating the malicious nodes. The results
obtained show that the proposed protocol when compared with other energy efficient protocols such as the MMBCR and DSR
gives far better results in terms of energy efficiency. We also introduce an Efficient Reactive and Angular – Optimized Link State
Routing (ERA-OLSR) for MANETs. It is observed that ERA-OLSR performs better than both AODV and DSR in terms of endto-
end delay and average energy consumed. ERA-OLSR is best suited for dense scenarios. The simulation results obtained after
implementing the proposed protocol have shown that ERA-OLSR has better performance than both AODV and DSR in terms of
End-to-end delay and Average Energy Consumption.
We use the ideas of naturally occurring ants’ foraging behavior and based on such ideas we design an energy-aware routing
protocol, which not only incorporates the effect of power consumption in routing a packet, but also exploits the multi-path
transmission properties of ant swarms and, hence, increases the battery life of a node. The efficiency of the protocol with respect
to some of the existing ones has been established through simulation analysis. We formulate the sensor recharge problem in
wireless sensor networks with rechargeable sensor nodes as a Markov Decision Processes (MDP) problem and have formulated
policies to find at which level recharging is optimum. We offered a generalized formula for calculating the delay of recharge. The
theoretical as well as the simulated recharge delay are compared for different policies to get the optimum one. Other related
research efforts by our group will be presented.
Tidak ada komentar:
Posting Komentar