same among the participating nodes is offered by

same proposed FF-AOMDV protocol
is used along with the bandwidth as a fitness value. Now the calculations for
selecting routes towards the destination will be according to energy, distance
and also bandwidth. The same performance metrics used in the experiments: 

1. Packet Delivery Ratio.

2. Throughput.

3. End-to-end delay.

4. Energy Consumption.

5. Network Lifetime.

are used here to evaluate the
results. Thus the proposed work is expected to improve the performance of
mobile ad hoc networks by prolonging the lifetime of the network. The
performance will be evaluated in terms of throughput, packet delivery ratio,
end-to-end delay, energy consumption and then compare with the results of
existing AOMDV protocol.

 

Available Bandwidth:

            Bandwidth is also known as the data
transfer rate. It describes the data sent out by means of connection over a
specified time and the bandwidth is expressed in bps. Bandwidth is the bit-rate
of the existing or the consumed information capacity uttered normally in metric
multiples of bits per second. As the bandwidth is kept high the energy
consumption is also high. The data packets send increases and the energy
consumed at each node is also high. The transmission power consumption is high
because the packets send are more. When the bandwidth is taken as a parameter
along with the distance and energy, energy consumption varies as:

1. when distance increases energy
consumption also increases and when the route distance is less energy consumed
will be low.

2. when bandwidth is high energy
consumption  is also high  and when it is  less energy consumed will be low. Thus
bandwidth is the parameter considered here and the

simulation has scenarios like
node speed, packet size and simulation time.simulations are done by keeping the
scenarios as: varying the packetsize(64,128,256,512,1024) and keep both the
node speed and simulation time fixed. Packet delivery ratio, Throughput,
End-to-end delay, Routing overhead ratio are  
the performance metrics used to test the scenarios. In the proposed
system as the bandwidth is the other parameter the mathematical model is to be
find based on the three parameters energy, distance and bandwidth.

 

5. CONCLUSION:

Energy ef?ciency (EE) is an
essential aspect of mobile ad hoc networks (MANETs).secured routing protocol is
proposed which is energy efficient and security is provided for both link and
message without relying on the third party. A secure communication among the
participating nodes is offered by the environment of MANETS. Energy consumption
plays an important role in network lifetime. Since network mobility is an
important factor and network’s energy is consumed in data communication,
Cross-Layer design approach is used to enhance the transmission power for power
control. Energy consumption can be reduced by the prevention of security
attacks on routing protocols. Here to find the optimal path in multipath
routing, distance and energy are the fitness values used. It is proposed to use
the network resource bandwidth and calculations in selecting the routes towards
the destination will be according to the distance, energy and also bandwidth
.Thus the proposed work minimizes energy consumption and maximizes network
lifetime.

 

REFERENCES:

1.TejpreetSingh,JaswinderSingh,
and SandeepSharma,

“Energy ef?cient secured routing protocol
for MANETs,” in Wireless Networks, Springer,pp-1001-1009,May2017.

2.SudhakarPandeyandDeepikaAgarwal,”AnEDBasedEnhanced
Energy Ef?cient Cross Layer Model for Mobile Wireless Sensor Network,” in National
Academy Science Letters., Springer, pp 421-427,December 2017.

3.S.Muthurajkumar,S.Ganapathy and
M.Vijayalakshmi, “An Intelligent Secured
and Energy Ef?cient Routing Algorithm for MANETs,” in Wireless personal
communications ,Springer,pp 1753-1769,September 2017.

4.N.Magadevi,V.JawaharSenthilKumar
and A.Suresh, “Maximizing the Network Life Time of Wireless Sensor Networks
Using a Mobile Charger,” in Wireless personal communications .,Springer ,pp
1-11,2017.

5.Wen-KuangKuo and Shu-Hsien Chu,
“Energy Efficiency Optimization for Mobile Hoc Networks,” IEEE Access, pp
928-940,March 2016