Analysis of Genetic Algorithm for Effective power Delivery and with Best Upsurge

Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Vol. 5, No. 3, September 2017, pp. 264~269
ISSN: 2089-3272, DOI: 10.11591/ijeei.v5i3.260  264
Received October 25, 2017; Revised July 22, 2017; Accepted August 8, 2017
Analysis of Genetic Algorithm for Effective power
Delivery and with Best Upsurge
Syed Umar*, G. Sridevi
Department of CSE, KL University, Vaddeswaram, Guntur, India
e-mail: umar332@gmail.com
Abstract
Wireless network is ready for hundreds or thousands of nodes, where each node is connected to
one or sometimes more sensors. WSN sensor integrated circuits, embedded systems, networks, modems,
wireless communication and dissemination of information. The sensor may be an obligation to technology
and science. Recent developments underway to miniaturization and low power consumption. They act as a
gateway, and prospective clients, I usually have the data on the server WSN. Other components separate
routing network routers, called calculating and distributing routing tables. Discussed the routing of wireless
energy balance. Optimization solutions, we have created a genetic algorithm. Before selecting an
algorithm proposed for the construction of the center console. In this study, the algorithms proposed model
simulated results based on "parameters depending dead nodes, the number of bits transmitted to a base
station, where the number of units sent to the heads of fuel consumption compared to replay and show
that the proposed algorithm has a network of a relative.
Keywords: LEACH-GSA, genetic algorithm, dead nodes , upsurge
1. Introduction
Distributed sensor system can certainly follow the area. In this system, unlike traditional
wired system, on the other hand, reduce the installation, configuration and network
configuration instead of thousands of meters of cable, on the other hand have only a small
device, the size of the same coin. Wireless sensor networks are wireless sensors are spread
out, and measuring by us to say that a group of a number of physical quantities or to the
environment, such as temperature, sound, vibration, pressure, motion or polluting substances in
different places [1]. Sensor Networks motivate used in military applications such as battlefield
surveillance, to be developed. But now, using wireless sensor networks in the industry and
many non-military purposes, such as monitoring and control of industrial processes, health
monitoring, environmental monitoring, and applications for home care, smart home and traffic
[2].
Except addition, one or more sensors, such as each network node is usually equipped
with a radio transmitter (or other wireless communication devices), small and micro-power
source (usually a battery) [3], [4]. Depending on the size of the entire sensor node packaging is
a little sand is the microscopic parts of the nest is still under development. The network sensor
access networks usually down (ad hoc network) is present, which means that each node is a
multi-hop algorithm. (Many of the nodes and the central station is a package). Currently,
wireless sensor networks, computing and communications are held numerous seminars and
conferences active research each year in this regard. In this article we will have a considerable
impact on reducing energy consumption algorithm communication will focus on the network.
According to our research, direct transfer methods, and is not optimized for use in sensor
networks [5], [6]. We Leach clustering protocol based on the proposal that we do not turn the
head of the local pastries; Power is shared by all nodes. Scalability and reliability algorithm that
provides local coordination and data transfer, reduce uses[7]. This algorithm reduces the energy
consumption by a factor of [8]. Breakdown of life. Direct access to each node to send data
directly to the transmitter. If the plant is small nodules, it takes a lot of energy network nodes
and reduces life expectancy significantly. However, when the cells close to each other, this
method is acceptable, and probably better. Least energy transfer nodes between nodes cells.
Another way to make. The nodes in the group, which at each node is connected to the local
station and the local station data to the public stations ultimately reach the hands of the users.
When the low-energy cluster [9], [10]

IJEEI ISSN: 2089-3272 
Analysis of Genetic Algorithm for Effective power Delivery and with Best Upsurge (Syed Umar)
265
2. Literature Survey
In the Paper [8] routing multi path effect and streams studied treatment was wireless
networks. Three criteria are used to measure the effectiveness of the network is the network
bandwidth minimum requirements for the popular fairs and acceptable QoS bandwidth. Each of
these criteria "show in any case in many directions and ongoing clinical trials without" multi-
beam calculated route. The calculation of these measures, but if the level of protection for
solving optimization model of these standards. In both cases, the comparison of these
measures, it has been found that even "with multi-path routing to the fixed network can,
wireless, or is not climbing twice." Moreover, showed in comparison to the two-state solution of
the model "with ensures the help of multi-beam routing optimization model for a much simpler
solution. The confrontation between the two forms of the above results were obtained.
a. Multi-way routing and distribution. You can use it to network efficiency, wireless and
the use of complex algorithms and protocols plants prospects increase.
b. A multi-beam routing and power allocation optimization model reduces the
complexity of flora.
Optimal size designation, a group shredding algorithms are tools online use, such as
cultural model of cultural values of the results differ. Article [9], because the limited flexibility of
wireless communication channels are divided into "large number of sensor nodes is a serious
problem that collisions. packet collisions factors that increase latency end-end network
throughout the plant. Collision nodes try to write an increasing number of pseudo miss the
beginning of the end of the period. In this article, we describe a method which "graphics,
network, increases network capacity XTC algorithm built, and the modified distance vector
algorithm that makes up the crane, so that the delay is eliminated by the supply end area. XTC
algorithm is one of the most realistic and practical control algorithm limits of the sensor.
algorithms and many other algorithms have network nodes, the exact cause of its geographical
neighbors day. this algorithm in difficult circumstances, called "wireless applications know it in
this environment. In general, this algorithm gives three steps building all nodes in the network,
the network, these three steps the development of others is a numbered list of the roadmap "to
a network diagram each growing network. The results are shown in Figure 10, rate € the second
package, respectively. than the actual size of the other two methods' weight issue is getting
brighter.
Many search queries obligations tools to give advice. Working with minimal cost routing
using some genetic PMX crossings to drive each population. Evaluation of the total population
in the pretreatment liquid to obtain only results "has always been a part of the population."
comprehensive research analysis to find the optimal solution for better targeting problem
respectively15. The work I often temperature logarithmic function, leading to the best solution to
this problem. [10] PMX operator routing problem of the junction caused by repeated time and
characteristic of her equipment grows gradually logarithmic rate convergence algorithm of the
search algorithm. Paper [11] a wealth of wireless network routing optimization and compression
for maximum durability. They solve the problem, it was the evaluation function, which is a
necessary condition and optimal algorithm proposed slope compensation. [12] routing algorithm
on the basis of the geometry selected from acyclic graph consists quote for instructions. on the
basis of the routing algorithm is one of the modern culture can send traffic to neighboring nodes
adjacent text in the distance of the text culture. Using data compression each culture, there are
two features about culture or obtain. Since the original data are grown near the cultural and
local knowledge is encoded transmission nodes nearest neighbor nodes "for information directly
screwed.
Wood was purpose brought to the nodes for a low price in [13], respectively. The
complexity of routing tables using sending results of the search engine optimization of
information on genetic algorithms. Environmental problems latex nodes connected to a plurality
of the large losses in the target nodes. latex once factors, such as the link between the nodes
surrounding text nodes to a collection of objects to break, the addition of target nodes in the
group. [14]

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3. Various Methodologies and Flow of Execution of Proposed algorithm
In this study is to optimize the routing of the balance between the wireless energy was
examined genetic algorithm. Here, examples of the resulting applications. Given the complexity
of this solution in order polynomial. So, this model solve with great optimization.
3.1. Algorithm Proposed for
a. The first sensors are randomly distributed in space.
b. Classification of sensors or groups so that each group has a leader.
c. The number of clusters selected in accordance with the temperature distribution of
all the sensors and to save energy.
d. If you are part of the cultural calendar on the map, "at the end of the cluster.
e. Select the part closest to the data center of the use of a genetic algorithm:
f. The creation of the indigenous population.
1. Crossover online
2. Mutations Internet
3. Controversial Internet
g. Go to step 5, all nodes in the cluster to their optimum.
3.2. The First Group of Algorithms
The values below are based on the best escape. We run the simulation several times
until the parameter in order to adapt the algorithm to achieve the best conditions. The values of
these parameters: number of nodes in the network 50, the number of repetitions, 3000, pico
network nodes [0100] packages sent to 6400 bits, the probability of selection of the head of
Culture 00:05 team.
Key factors and Formulation used as below
In the above eq-(1) S stands for as follows
S(C(min_dis_cluster).id)={S(C(min_dis_cluster).id).E(ETX*(ctrPackteLength)+
Efs*ctrPacketLength*
((min_dis)^2)} ---------------------------------------eq-(2)
4. Experimental Analysis
In order to evaluate the algorithm, I introduced four of the key associated with a number
of rides, let me. The first argument to the number of nodes in the network is dead. The second
parameter is the number of bits in the "down. The third parameter is the number of devices in
the hands of the head and the fourth parameter, power consumption i s played online.
Figure 1. The number of dead nodes on which the algorithm proposed

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Figure 1 shows the number of repetitions of the dead volume of 1100 is repeated up to
50 minimum. The scientific results or proposal is better than the standard method.
Figure 2. The number of bits transmitted from the base station, the algorithm
In the Figure 2 many other embodiments, the reduced number of bits in the base
station. The number of bits transmitted in a given time, the network is a good argument for
quality. It is known for finishing "Run, energy and other affected nodes can send data. The
simulation was able to move running in the morning, but the taxes paid after 1800, many
changes almost a continuous process.
Figure 3. The number of transmitted bits of the proposed algorithm
In the Figure 3 shows that an increasing number of executions, the number of delivered
cluster nodes removed parts. After the execution at the end of 1100 numbers, less energy and
can transmit data to other nodes. As shown in the Figure 3, it is sent to the brush head items
generally sold as sales and the site can read the results of a physical injury. Energy
consumption in

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268
Figure 4. total energy fuel by increasing the frequency | theater.
Site generated standardization; calculated the amount of power [0, 1]. Table 1 shows
the output potential proposed Article [15]. Article L genetic progressive difficult problem to solve
is to provide a wireless communication. Studies show parameter value better than paper and
more effective solutions. The number of bits to send a text algorithm, the number of pieces GSA
sent Leach and both parameters in comparison with the conventional method of routing wireless
network. In fact, we have tried to answer some of the methods algorithm retrieves all table
settings used by both parties. How all criteria network routing optimization algorithm is dead
sensor nodes,[16] the number of bits for use in the base amount of data sent staff to the net.
Below is presented a chart, and therefore should lead to results of the optimization algorithm?
Generation of evolutionary algorithms or the temperature of the solution and to improve the
parameters of the genetic algorithm by water with good results. But above all test the technical
quality of software and simulation run in parallel on multiple computers.[17]
5. Future Scope
Is the principle that the transfer means is proportional to the change in the population is
increasing the mutation, we have seen many changes in the chromosomes. Recommended.
The range of techniques, algorithms and simulated annealing search algorithm respectively.
The overall structure is often responsible for a large research. For this reason, the strategy
increases to develop the list of candidates in the algorithm along the diversification of integrated
solutions, and simulated annealing algorithm material. The proposed algorithm the role of "art
centers and a more favorable position can to the center of the cluster. We hope this project
solution for better performance and less energy waste become involved to develop our total
nodes in a wireless network.
6. Conclusion
The problem of energy wireless routing. optimization solution, we have created a
genetic algorithm. Before selecting a proposal for a cluster design algorithm. In fact, instead of
the normal process of the execution of the program, the proposed center of the cluster of the
system algorithm to determine the optimal location of the central cluster. Each line of the model
algorithm to generate random numbers, deciding to start, Ch. Brush casually head, it is possible
that it is sometimes not to the network nodes of the second part of "high text cooperation of
people. The proposed algorithm, this problem is solved if the proposed algorithm in charge to
find a position in the middle of the pack. For modeling algorithms, simulation results based on
the " dead parameters nodes, the number of bits transmitted by the base station, wherein the
number of unit regions is made to managers fuel in comparison with the algorithm turns out that
repetition of the network is for a report, but the optimum solution. hierarchical routing techniques
for alleviating obsessive and sent to the base station, and increases the lifetime of the network.
The proposed algorithm uses the search data to compress the data to the cells and send, which

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leads to a better optimization. seems the proposed method for protecting a scalable and local
reactions are described in the problem areas. Therefore, we propose ways to solve this
problem. simulation, the number of nodes in a bin 50 when the minimum of 990 repetitions. The
cost model sensor network routing algorithm designed by the start of the study, 50 to the
number of nodes on the label in 1100 was the lowest. The proposed method is superior to
conventional methods. The number of nodes parameters compared to 1050 is a result of
"natural, resulting in better performance. The assessment of energy use repetition of standard
algorithms, and sets the parameter proposed is a good performance, and the lowest 550 MPs.
As the proposed algorithm is not much changed in comparison with conventional algorithms.
shows one possible solution to change the proposed algorithm. to change the parameters of the
genetic algorithm for the simulation.
References
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