The tracking using wireless sensor networks is one of the applications that are
experiencing significant growth. Due to considerations of wireless sensor networks in
terms of limited energy source, researches continue to improve methods of routing
and
transforming information to ensure lower power. Therefore, we have in this research
improved the routing of target location information within WSN by providing a new
algorithm, which takes advantage of the concept of clustering for wireless network sensors,
with the addition of the possibility of interaction between field sensors that belong to
different clusters, where in other cases, they cannot interact with each other in the
traditional case of cluster networks. to get rid of repeating the same information transfer,
we depend on the parameter intensity of the received signal from the target in the sensors,
which will reflect positively on the network age, and give a more accurate indication of the
target site. We have implemented the proposed algorithm and showed the results of using
the simulator OPNET which is one of the best simulators in the field of various types of
networks.
Recent technological advances have greatly improved the performance and features
of computers and mobile systems. This improvements leads to increase in power
consumption which makes the task of managing their power consumption necessary. The
proc
essor considered as one of the most power consuming elements in the system so, this
research aims to develop a new method for power management in multicore architecture
which support most of the modern electronics. Power management techniques is an
important field in multicore studies because it must balance between the demanding needs
for higher performance/throughput and the impact of aggressive power consumption and
negative thermal effects. Many techniques have been proposed in this research like
(Dynamic Voltage and Frequency Scaling (DVFS), Asymmetric cores, Thread motion,
variable size cores, core fusion) then after we summarized comparing table which clarifies
the pros and cons of these techniques, we proposed a new technique for power
management in multi-core processors implements the best of these techniques .
In this Thesis, we have studied, designed and implemented
an energy and economic efficient smart plug system and achieves
high rates of performance. At the beginning, a comprehensive
reference studying the Smart Plug devices. The Smart Plug device
was studied, designed and implemented using, which Turn-Off
electrical loads in Standby mode to minimize power consumption.
The status of all devices connected to the smart plug is shown on
the computer display using smart monitor application.
The design and implementation of Smart Plug system has saved
1.3% of the total energy consumed in the home per month while
achieving economic feasibility and improving the cost of the
economic return of the total consumers about 0.7% through the use
of the smart plug that has been implemented.
This article examines the possibility of assigning the mobility
characteristics of the modifications carried out on the dynamic
algorithm to the static algorithm. Furthermore we used NS-2
simulator to evaluate our proposal and to compare it with t
he
performance of the standard algorithms. The results show the
superiority of the modified algorithms over the standard
algorithms, especially with network congestion.
