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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1189
Energy-Aware Multipath Routing Scheme Based on Particle Swarm
Optimization (EMPSO)
Nikhat Raza Khan1, Dr. Sanjay Sharma2, Dr.P.S.Patheja3
1 Research Scholar, Dept. of CSE, Mewar University, Chittorgarh, Raj., India
2Supervisor, Prof. & Head Dept. of MCA, MANIT Bhopal, M.P,. India
3 Co- Supervisor, Associate Prof. Dept. of CSE, VIT Bhopal, M.P., Inia
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Abstract – Every node in an ad hoc network are
constrained by energy power for their operation.
Communication (transmission and reception) is one of the
main sources of energy consumption in Mobile Ad hoc
Networks. Since the rate of battery performanceimprovement
is rather slow and in the absence of breakthroughsinthisfield,
other measures have to be taken to achieve the goal of getting
more performance out of the currently available battery
resources. In this work, the main focus is to develop a method
of energy in communications between ad-hoc network nodes.
This proposed model which selects best path by considering
energy parameter. a particle swarm optimization (PSO) is
used for optimized route selection.
Key Words: Energy, PSO,Optimization,MAODV,Battery.
1. INTRODUCTION
MANET consists of mobile nodes with limited energy and
wireless link. Each mobile node forwards the packets from
source to destination. MANET is represented as directed
graph 𝐺 = (𝑉, 𝐸). The vertices V ∈ 𝑉 are a symbol of the
mobile nodes and the neighbor node. An edge (𝑢,V) ∈ 𝐸is a
symbol of a wireless link between nodes 𝑢,V, which forward
packets to others. The energy consumption for forwarding
packets from a node 𝑢 to node V is given by:
…….(1.1)
where 𝑘 is number bits and 𝑑 isthe distance between nodes.
𝐸elec, 𝐸amp are energy dissipated per bit to forward and
receive packets, respectively. Energy consumption for
receiver is calculated by:
…….(1.2)
The EMPSO routing scheme is composed of three phases: (i)
route setup phase, (ii) route discovery phase, and (iii) route
maintenance phase. In the route setup phase, each node
acquires its metadata of the neighborhood. This metadata is
used in the route discovery to find the best next-hop node
towards the destination node. The route discovery is
activated whenever a source wants to transmit data to
destination in an on-demand fashion that prevents multiple
interference between source and destination. The route
maintenance phase handles path failures during data
transmission.
1.1 Route Setup Phase
In the route setup phase, source node initiates a data
transmission for forwarding packets to the destination.Each
node in a MANET obtains its metadata of the neighborhood,
which also includes the transmission cost (𝑡𝑐) of its
neighbors towards the destination node. The 𝑡𝑐 value of a
link indicates the required number of transmissions for a
successful packet reception at the receiver.Thetransmission
cost of a link is given as follows:
…….(1.3)
where 𝑝 and 𝑞 are the probabilitiesof forwardandbackward
packet reception over a link, respectively.Intheinitialization
phase, each node broadcasts the control packets and stores
the number of successfully received packets from its
neighbors in the routing neighbourhood table. Then, the
destination node sets its transmission cost to zero and
broadcasts this value to its neighbors, when a node receives
a transmission cost included in a packet.
The algorithm for this phase is as given below.
Algorithm 1: To Setup Route
Input: Control Packets (CP)
Initialize: =0;
Broadcast Control Packets;
If received by neighbours
Then
Store in Routing Neighbourhood Table (N-Table)
Calculate Transmission Cost
Else if node is destination
Then
Set =0;
Broadcast it to Neighbours.
End if
Else
Find Neighbours
End if
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1190
1.2 Route Discovery Phase
Whenever a source node wants to transmit data to
destination, the route discovery phase is initiated to find
multiple paths from the source to destination. The proposed
multipath routing protocol usesreliability measuressuchas
transmission cost, optimal traffic ratio, and remaining
energy. The source node starts the route discovery by
transmitting a route request packet (RR) towards the
destination node. Whenever an intermediatenodereceivesa
RR packet, it computesthe transmission cost, optimal traffic
ratio, and remaining energy for a path that is established
between the source and the destination. Then, it also used a
found path to forward the RR packet to theneighboringnode
with minimum cost. There liability measures are stored in
the routing table of a node in MANET. The EMPSO scheme
uses a continuous time recurrent neural network to find an
optimal path among multiple paths. CTRNNs are more
computationally efficient in order to use a system of
ordinary differential equations to model. The three weight
factors such as transmission cost, energy factor, andoptimal
traffic ratio are taken into the account in CTRNN to find an
optimal path. The weight factor of transmission cost is given
in
Weight factor for Transmission Cost ( )
.............(1.4)
Where is the ratio of transmitted control packets and
number of packet transmitted over the network whereas
is the ratio of transmitted data packets and total
number of packet transmitted over the network.
Weight factor for Optimal Path Ratio (OPR)
...............(1.5)
Weight factor for Remaining Energy (RE)
..............(1.6)
The algorithm for this phase is as given:
Algorithm 2: To Process and Update RREQs
Input: RREQ Packet
Initialize: =0, OPR=0, RE=0.
For each Neighbour when received a RREQ Packet
If Neighbour is intermediate node then
Calculate Reliability Measures that is Tc, OPR, RE
Store in RT (Routing Tables)
CTRNN is used for weight factor calculation using
equations (4.4), (4.5) and (4.6) for Tc, OPR and RE
respectively.
Forward RREQ packet to the Next Hop
Else if Neighbour is destination node.
Then selection is on the basis of calculated weight
factors.
send RREP to the source node S
End of if
End of if
End of for
1.3. PSO Algorithm
Initially, multiple paths are found by route discovery phase.
Then, reliability measures for a path are calculatedwithhelp
of CRRNN. An optimization technique called PSO is used to
find better link quality in a path. PSO can be applied to
optimization problemsthat arepartiallyindynamictopology
changing environment. PSO is an evolutionary optimization
technique that may be used to seek a good set of weights in
CTRNN. PSO is applied to find the best nodes (particles)
involved in a path. PSO is metaheuristic that searches large
spaces of candidate solutions. A route with a better link
quality is selected for forwarding data from source to
destination. If a better link quality is not found, PSO function
is performed again until global best solution hasbeenfound.
PSO reduces the traffic and routing overhead of the
optimization process and finds the node with best link
quality in an ad hoc network.
The algorithm for this phase is as given:
Algorithm 3: To Process RREP
Input: RREP Packet
Initialize:
For each selected path when received a RREP Packet
If Neighbour is intermediate node then
Forward RREP packet to the Next Hop
Else if Neighbour is Source node.
Then PSO is used to select best path.
End of if
End of if
End of for
2. SIMULATION ANALYSIS
In this work, two protocols AOMDV and EMPSO are
implemented using NS-2 simulator. EMPSO is energy aware
multipath protocol where Particle Swarm optimization is
used to select best path for data transmission. These
protocols are simulated in the area 1000x1000 m2.
Implementation is done using different scenarios to test the
performance of the protocols. The scenarios implemented
for testing are as given below:
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1191
2.1.1 Scenario1: Varying Nodes
To test the performance of the protocols 50, 100, 150 and
200 nodes are deployed in the area of 1000x1000 m2 with
maximum speed of 50m/s. Simulation is carried out using
CBR traffic with maximum 40 connections.Otherparameters
are as given in the table 2.1.
Table 2.1: Simulation Setup
Simulation Parameters Values
Area 1000x1000
No. of nodes 50,100,150,200
Speed 0~50m/s
Traffic CBR
Packet Size 1000 bytes
Packet Rate 250k/s
Pause Time 500s
Simulation Time 1000s
Max Connection 40
Routing Protocol AOMDV & EMPSO
Results Parameters:
a. Packet Delivery Ratio: This energy based protocol
(EMPSO) performs better than AOMDV and achieves 69%
improvement in Packet Delivery Ratio. The comparison of
these protocols by varying nodes is as given in table 4.2.
Table 2.2: Packet Delivery Ratio
PDR
50 100 150 200
AOMDV 23.0701 23.508 34.3308 33.9252
EMPSO 89.321 93.3463 94.0546 94.658
Figure 1.1 shows the performance of both protocols. This
figure also shows that PDR increases with the increase
number of nodes and more than AOMDV.
Figure 1.1: Packet Delivery Ratio (Scenario-1)
b. Overhead: This energy based protocol(EMPSO)performs
better than AOMDV and achieves 55% improvement in
Overhead. The comparison of these protocols by varying
nodes is as given in table 1.3.
Table 1.3: Overhead
Overhead
50 100 150 200
AOMDV 15.431 32.664 26.28 26.407
EMPSO 6.038 11.739 13.279 14.092
Figure 1.2 shows the performance of both protocols. This
figure shows that Overhead increases with the increase
number of nodes but less than AOMDV.
Figure 1.2: Overhead (Scenario-1)
c. Delay: This energy based protocol (EMPSO) performs
better than AOMDV and achieves 41% improvement in
Delay. The comparison of these protocolsbyvaryingnodesis
as given in table 1.4.
Table 1.4: Delay
Delay
50 100 150 200
AOMDV 0.07 0.06 0.04 0.05
EMPSO 0.02 0.03 0.03 0.04
Figure 1.3 shows the performance of both protocols. This
figure shows that Delay increases with the increase number
of nodes but less than AOMDV.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1192
Figure 1.3: Delay (Scenario-1)
d. Throughput: This energy based protocol (EMPSO)
performs better than AOMDV and achieves 57%
improvement in Delay. The comparisonoftheseprotocolsby
varying nodes is as given in table 1.5.
Table 1.5: Throughput
Throughput
50 100 150 200
AOMDV 51.55 56.54 47.59 59.18
EMPSO 112.43 127.31 129.27 132.731
Figure 1.4 shows the performance of both protocols. This
figure shows that Throughput increases with the increase
number of nodes and more than AOMDV.
Figure 1.4: Throughput (Scenario-1)
e. Total Energy Consumption: This energy based protocol
(EMPSO) performs better than AOMDV and achieves 16%
improvement in Delay. The comparisonoftheseprotocolsby
varying nodes is as given in table 1.6.
Table 1.6: Total Energy Consumption
Total Energy
50 100 150 200
AOMDV 4896.06 9764.28 14869.5 19835.8
EMPSO 3224.28 8926.63 13362.63 17374.7
Figure 1.5 shows the performance of both protocols. This
figure shows that Total Energy consumption increases by
increasing number of nodes but less than AOMDV.
Figure 1.5: Total Energy Consumption (Scenario-1)
1.2.2 Scenario2: Varying Packet Size
To test the performance of the protocols 50 nodes are
deployed with variable packet size in the area of 1000x1000
m2 with maximum speed of 50m/s. Simulation is carriedout
using CBR traffic with maximum 40 connections. Other
parameters are as given in the table 1.7.
Table 1.7: Simulation Setup
Simulation Parameters Values
Area 1000x1000
No. of nodes 50
Speed 0~50m/s
Traffic CBR
Packet Size 200,400,600,800,1000 bytes
Packet Rate 250k/s
Pause Time 500s
Simulation Time 1000s
Max Connection 40
Results Parameters:
a. Packet Delivery Ratio: This energy based protocol
(EMPSO) performs better than AOMDV and achieves 33%
improvement in Packet Delivery Ratio. The comparison of
these protocolsby varying packet rate isasgivenintable1.8.
Table 1.8: Packet Delivery Ratio
PDR
200 400 600 800 1000
AOMDV 49.2347 28.3298 25.6825 18.4943 23.0701
EMPSO 32.4732 40.2719 45.921 61.383 89.321
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1193
Figure 1.6 shows the performance of both protocols. This
figure shows that Packet Delivery Ratio increases by
increasing number of packets and more than AOMDV.
Figure 1.6: Packet Delivery Ratio (Scenario-2)
b. Overhead: This energy based protocol (EMPSO)
performs better than AOMDV and achieves 21%
improvement in Overhead. The comparison of these
protocols by varying packet rate is as given in table 1.9.
Table 1.9: Overhead
Overhead
200 400 600 800 1000
AOMDV 5.582 7.855 7.424 14.884 15.431
EMPSO 14.374 12.499 10.482 8.3092 6.038
Figure 1.7 shows the performance of both protocols. This
figure shows that Overhead decreases by increasingnumber
of packets and it is more than AOMDV in case of 200,400and
600 packets but less in case of 800 and 1000 packets.
Figure 1.7: Overhead (Scenario-2)
c. Delay: This energy based protocol (EMPSO) performs
better than AOMDV and achieves 49% improvement in
delay. The comparison of these protocols by varying packet
rate is as given in table 1.10.
Table 1.10: Delay
Figure 1.8 shows the performance of both protocols. This
figure shows that delay increases by increasing number of
packets but less than AOMDV.
Figure 1.8: Delay (Scenario-2)
e. Throughput: This energy based protocol (EMPSO)
performs better than AOMDV and achieves 33%
improvement in Throughput. The comparison of these
protocols by varying packet rate is as given in table 1.11.
Table 1.11: Throughput
Throughput
200 400 600 800 1000
AOMDV 33.54 36.15 60.13 41.9 51.55
EMPSO 30.2 70.38 78.45 89.32 112.43
Figure 1.9 shows the performance of both protocols. This
figure shows that Throughput increases by increasing
number of packets and is more than AOMDV.
Figure 1.9: Throughput (Scenario-2)
Delay
200 400 600 800 1000
AOMDV 0.02 0.02 0.02 0.02 0.07
EMPSO 0.01 0.01 0.01 0.015 0.02
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f. Total Energy Consumption: This energy based protocol
(EMPSO) performs better than AOMDV and achieves 25%
improvement in Energy Consumption. The comparison of
these protocols by varying packet rate is as given in table
1.12.
Table 1.12: Total Energy Consumption
Total Energy
200 400 600 800 1000
AOMDV 4992.59 4866.33 4823.25 4778.94 4896.06
EMPSO 4137.27 3822.38 3528.27 3429.28 3224.28
Figure 1.10 shows the performance of both protocols. This
figure shows that Energy Consumption decreases by
increasing number of packets and is less than AOMDV.
Figure 1.10: Total Energy Consumption (Scenario-2)
1.2.3 Scenario3: Varying Speed
To test the performance of the protocols 50 nodes are
deployed with variable speed in the area of 1000x1000 m2
with fixed packet rate. Simulation is carried out using CBR
traffic with maximum 40 connections. Other parametersare
as given in the table 1.13.
Table 1.13: Simulation Setup
Results Parameters:
a. Packet Delivery Ratio: This energy based protocol
(EMPSO) performs better than AOMDV and achieves 75%
improvement in Packet Delivery Ratio. The comparison of
these protocols by varying speed is as given in table 1.14.
Table 1.14: Packet Delivery Ratio
PDR
10 20 30 40 50
AOMDV 23.3564 10.2126 27.8491 19.4062 14.9668
EMPSO 70.3293 73.492 81.859 84.2929 85.392
Figure 1.11 shows the performance of both protocols. This
figure shows that Packet Delivery Ratio increases by
increasing speed and is more than AOMDV.
Figure 1.11: Packet Delivery Ratio (Scenario-3)
b. Overhead: Thisenergy based protocol(EMPSO)performs
better than AOMDV and achieves 56% improvement in
Overhead. The comparison of these protocols by varying
speed is as given in table 1.15.
1.15 Overhead Table
Figure 1.12 shows the performance of both protocols. This
figure showsthat Overhead increasesb increasingspeedbut
it is less than AOMDV.
Simulation Parameters Values
Area 1000x1000
No. of nodes 50
Speed 10,20,30,40,50 m/s
Traffic CBR
Packet Size 1000 bytes
Packet Rate 250k/s
Pause Time 500s
Simulation Time 1000s
Max Connection 40
Overhead
10 20 30 40 50
AOMDV 9.269 23.539 8.17 13.07 15.545
EMPSO 3.292 3.928 5.391 6.927 7.037
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© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1195
Figure 1.12: Overhead (Scenario-3)
c. Delay: This energy based protocol (EMPSO) performs
better than AOMDV and achieves7% improvement in Delay.
The comparison of these protocols by varying speed is as
given in table 1.16.
Table 1.16: Delay
Delay
10 20 30 40 50
AOMDV 0.07 0.06 0.04 0.03 0.05
EMPSO 0.02 0.04 0.04 0.05 0.05
Figure 1.13 shows the performance of both protocols. This
figure shows that Delay increases by increasing speed and it
is more than AOMDV on high speed value and less in low
speed.
Figure 1.13: Delay (Scenario-3)
d. Throughput: This energy based protocol (EMPSO)
performs better than AOMDV and achieves 27%
improvement in Throughput. The comparison of these
protocols by varying speed is as given in table 1.17.
Table 1.17: Throughput
Throughput
10 20 30 40 50
AOMDV 77.9 40.63 80.91 50.17 46.04
EMPSO 78.02 80.27 81.29 85.38 87.92
Figure 1.14 shows the performance of both protocols. This
figure showsthat Throughput increases by increasingspeed
and it is more than AOMDV even on high speed value.
Figure 4.14: Throughput (Scenario-3)
e. Total Energy Consumption: This energy basedprotocol
(EMPSO) performs better than AOMDV and achieves 5%
improvement in Total Energy Consumption.Thecomparison
of these protocols by varying speed is as given in table 1.18.
Table 1.18: Total Energy Consumption
Total Energy
10 20 30 40 50
AOMDV 4988.97 4837.62 5057.01 5047.23 5012.22
EMPSO 4628.41 4583.28 4729.18 4838.21 4892.84
Figure 1.15 shows the performance of both protocols. This
figure shows that Total Energy consumption increases by
increasing speed and it is less than AOMDV even on high
speed value.
Figure 1.15: Total Energy Consumption (Scenario-3)
3. CONCLUSIONS
In this paper, the analysisof the base protocolwhichisbased
on Energy-Aware Multipath Routing Scheme with Particle
Swarm Optimization is done. This protocol is implemented
and tested on three different scenarios where its
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072
© 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1196
performance is measured in terms of different parameters.
The resultant parameters show that this energy based
protocol performs better than AOMDV in all aspects. So, this
protocol will be used in further work to enhance the
performance of Mobile Ad hoc Network in terms of energy.
ACKNOWLEDGEMENT
I am indebted to my thesis supervisor Dr. Sanjay Sharma
Prof. & head dept. of MCA MANIT, Bhopal for all their
guidance and help. Their kind encouragement and
motivation during the preparation of this thesis is highly
appreciated.
I wish to express my heartiest regards to my Co- supervisor
Prof Dr. Pushpinder Singh Patheja, Associate Professor,
Vellore Institute of Technology Bhopal, who assisted me
and provided help throughout my research work.
I express my appreciation and gratitude to my husband and
my kids, and all other family members for their
encouragement, moral support, understanding andpatience
throughout the span of research work.
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[32] Periyasamy, P., & Karthikeyan, E. (2016). End-to-
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for Mobile Ad Hoc Networks. Wireless Personal
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N. A. (2016). Adaptive Cross-Layer Multipath Routing
Protocol for Mobile Ad Hoc Networks. Journal of
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[34] Jayavenkatesan, & Mariappan, A. (2017). ENERGY
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[35] Tareq, M., Alsaqour, R., Abdelhaq, M., & Uddin, M.
(2017). Mobile Ad Hoc Network Energy CostAlgorithm
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Energy-Aware Multipath Routing Scheme Based on Particle Swarm Optimization (EMPSO)

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1189 Energy-Aware Multipath Routing Scheme Based on Particle Swarm Optimization (EMPSO) Nikhat Raza Khan1, Dr. Sanjay Sharma2, Dr.P.S.Patheja3 1 Research Scholar, Dept. of CSE, Mewar University, Chittorgarh, Raj., India 2Supervisor, Prof. & Head Dept. of MCA, MANIT Bhopal, M.P,. India 3 Co- Supervisor, Associate Prof. Dept. of CSE, VIT Bhopal, M.P., Inia ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract – Every node in an ad hoc network are constrained by energy power for their operation. Communication (transmission and reception) is one of the main sources of energy consumption in Mobile Ad hoc Networks. Since the rate of battery performanceimprovement is rather slow and in the absence of breakthroughsinthisfield, other measures have to be taken to achieve the goal of getting more performance out of the currently available battery resources. In this work, the main focus is to develop a method of energy in communications between ad-hoc network nodes. This proposed model which selects best path by considering energy parameter. a particle swarm optimization (PSO) is used for optimized route selection. Key Words: Energy, PSO,Optimization,MAODV,Battery. 1. INTRODUCTION MANET consists of mobile nodes with limited energy and wireless link. Each mobile node forwards the packets from source to destination. MANET is represented as directed graph 𝐺 = (𝑉, 𝐸). The vertices V ∈ 𝑉 are a symbol of the mobile nodes and the neighbor node. An edge (𝑢,V) ∈ 𝐸is a symbol of a wireless link between nodes 𝑢,V, which forward packets to others. The energy consumption for forwarding packets from a node 𝑢 to node V is given by: …….(1.1) where 𝑘 is number bits and 𝑑 isthe distance between nodes. 𝐸elec, 𝐸amp are energy dissipated per bit to forward and receive packets, respectively. Energy consumption for receiver is calculated by: …….(1.2) The EMPSO routing scheme is composed of three phases: (i) route setup phase, (ii) route discovery phase, and (iii) route maintenance phase. In the route setup phase, each node acquires its metadata of the neighborhood. This metadata is used in the route discovery to find the best next-hop node towards the destination node. The route discovery is activated whenever a source wants to transmit data to destination in an on-demand fashion that prevents multiple interference between source and destination. The route maintenance phase handles path failures during data transmission. 1.1 Route Setup Phase In the route setup phase, source node initiates a data transmission for forwarding packets to the destination.Each node in a MANET obtains its metadata of the neighborhood, which also includes the transmission cost (𝑡𝑐) of its neighbors towards the destination node. The 𝑡𝑐 value of a link indicates the required number of transmissions for a successful packet reception at the receiver.Thetransmission cost of a link is given as follows: …….(1.3) where 𝑝 and 𝑞 are the probabilitiesof forwardandbackward packet reception over a link, respectively.Intheinitialization phase, each node broadcasts the control packets and stores the number of successfully received packets from its neighbors in the routing neighbourhood table. Then, the destination node sets its transmission cost to zero and broadcasts this value to its neighbors, when a node receives a transmission cost included in a packet. The algorithm for this phase is as given below. Algorithm 1: To Setup Route Input: Control Packets (CP) Initialize: =0; Broadcast Control Packets; If received by neighbours Then Store in Routing Neighbourhood Table (N-Table) Calculate Transmission Cost Else if node is destination Then Set =0; Broadcast it to Neighbours. End if Else Find Neighbours End if
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1190 1.2 Route Discovery Phase Whenever a source node wants to transmit data to destination, the route discovery phase is initiated to find multiple paths from the source to destination. The proposed multipath routing protocol usesreliability measuressuchas transmission cost, optimal traffic ratio, and remaining energy. The source node starts the route discovery by transmitting a route request packet (RR) towards the destination node. Whenever an intermediatenodereceivesa RR packet, it computesthe transmission cost, optimal traffic ratio, and remaining energy for a path that is established between the source and the destination. Then, it also used a found path to forward the RR packet to theneighboringnode with minimum cost. There liability measures are stored in the routing table of a node in MANET. The EMPSO scheme uses a continuous time recurrent neural network to find an optimal path among multiple paths. CTRNNs are more computationally efficient in order to use a system of ordinary differential equations to model. The three weight factors such as transmission cost, energy factor, andoptimal traffic ratio are taken into the account in CTRNN to find an optimal path. The weight factor of transmission cost is given in Weight factor for Transmission Cost ( ) .............(1.4) Where is the ratio of transmitted control packets and number of packet transmitted over the network whereas is the ratio of transmitted data packets and total number of packet transmitted over the network. Weight factor for Optimal Path Ratio (OPR) ...............(1.5) Weight factor for Remaining Energy (RE) ..............(1.6) The algorithm for this phase is as given: Algorithm 2: To Process and Update RREQs Input: RREQ Packet Initialize: =0, OPR=0, RE=0. For each Neighbour when received a RREQ Packet If Neighbour is intermediate node then Calculate Reliability Measures that is Tc, OPR, RE Store in RT (Routing Tables) CTRNN is used for weight factor calculation using equations (4.4), (4.5) and (4.6) for Tc, OPR and RE respectively. Forward RREQ packet to the Next Hop Else if Neighbour is destination node. Then selection is on the basis of calculated weight factors. send RREP to the source node S End of if End of if End of for 1.3. PSO Algorithm Initially, multiple paths are found by route discovery phase. Then, reliability measures for a path are calculatedwithhelp of CRRNN. An optimization technique called PSO is used to find better link quality in a path. PSO can be applied to optimization problemsthat arepartiallyindynamictopology changing environment. PSO is an evolutionary optimization technique that may be used to seek a good set of weights in CTRNN. PSO is applied to find the best nodes (particles) involved in a path. PSO is metaheuristic that searches large spaces of candidate solutions. A route with a better link quality is selected for forwarding data from source to destination. If a better link quality is not found, PSO function is performed again until global best solution hasbeenfound. PSO reduces the traffic and routing overhead of the optimization process and finds the node with best link quality in an ad hoc network. The algorithm for this phase is as given: Algorithm 3: To Process RREP Input: RREP Packet Initialize: For each selected path when received a RREP Packet If Neighbour is intermediate node then Forward RREP packet to the Next Hop Else if Neighbour is Source node. Then PSO is used to select best path. End of if End of if End of for 2. SIMULATION ANALYSIS In this work, two protocols AOMDV and EMPSO are implemented using NS-2 simulator. EMPSO is energy aware multipath protocol where Particle Swarm optimization is used to select best path for data transmission. These protocols are simulated in the area 1000x1000 m2. Implementation is done using different scenarios to test the performance of the protocols. The scenarios implemented for testing are as given below:
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1191 2.1.1 Scenario1: Varying Nodes To test the performance of the protocols 50, 100, 150 and 200 nodes are deployed in the area of 1000x1000 m2 with maximum speed of 50m/s. Simulation is carried out using CBR traffic with maximum 40 connections.Otherparameters are as given in the table 2.1. Table 2.1: Simulation Setup Simulation Parameters Values Area 1000x1000 No. of nodes 50,100,150,200 Speed 0~50m/s Traffic CBR Packet Size 1000 bytes Packet Rate 250k/s Pause Time 500s Simulation Time 1000s Max Connection 40 Routing Protocol AOMDV & EMPSO Results Parameters: a. Packet Delivery Ratio: This energy based protocol (EMPSO) performs better than AOMDV and achieves 69% improvement in Packet Delivery Ratio. The comparison of these protocols by varying nodes is as given in table 4.2. Table 2.2: Packet Delivery Ratio PDR 50 100 150 200 AOMDV 23.0701 23.508 34.3308 33.9252 EMPSO 89.321 93.3463 94.0546 94.658 Figure 1.1 shows the performance of both protocols. This figure also shows that PDR increases with the increase number of nodes and more than AOMDV. Figure 1.1: Packet Delivery Ratio (Scenario-1) b. Overhead: This energy based protocol(EMPSO)performs better than AOMDV and achieves 55% improvement in Overhead. The comparison of these protocols by varying nodes is as given in table 1.3. Table 1.3: Overhead Overhead 50 100 150 200 AOMDV 15.431 32.664 26.28 26.407 EMPSO 6.038 11.739 13.279 14.092 Figure 1.2 shows the performance of both protocols. This figure shows that Overhead increases with the increase number of nodes but less than AOMDV. Figure 1.2: Overhead (Scenario-1) c. Delay: This energy based protocol (EMPSO) performs better than AOMDV and achieves 41% improvement in Delay. The comparison of these protocolsbyvaryingnodesis as given in table 1.4. Table 1.4: Delay Delay 50 100 150 200 AOMDV 0.07 0.06 0.04 0.05 EMPSO 0.02 0.03 0.03 0.04 Figure 1.3 shows the performance of both protocols. This figure shows that Delay increases with the increase number of nodes but less than AOMDV.
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1192 Figure 1.3: Delay (Scenario-1) d. Throughput: This energy based protocol (EMPSO) performs better than AOMDV and achieves 57% improvement in Delay. The comparisonoftheseprotocolsby varying nodes is as given in table 1.5. Table 1.5: Throughput Throughput 50 100 150 200 AOMDV 51.55 56.54 47.59 59.18 EMPSO 112.43 127.31 129.27 132.731 Figure 1.4 shows the performance of both protocols. This figure shows that Throughput increases with the increase number of nodes and more than AOMDV. Figure 1.4: Throughput (Scenario-1) e. Total Energy Consumption: This energy based protocol (EMPSO) performs better than AOMDV and achieves 16% improvement in Delay. The comparisonoftheseprotocolsby varying nodes is as given in table 1.6. Table 1.6: Total Energy Consumption Total Energy 50 100 150 200 AOMDV 4896.06 9764.28 14869.5 19835.8 EMPSO 3224.28 8926.63 13362.63 17374.7 Figure 1.5 shows the performance of both protocols. This figure shows that Total Energy consumption increases by increasing number of nodes but less than AOMDV. Figure 1.5: Total Energy Consumption (Scenario-1) 1.2.2 Scenario2: Varying Packet Size To test the performance of the protocols 50 nodes are deployed with variable packet size in the area of 1000x1000 m2 with maximum speed of 50m/s. Simulation is carriedout using CBR traffic with maximum 40 connections. Other parameters are as given in the table 1.7. Table 1.7: Simulation Setup Simulation Parameters Values Area 1000x1000 No. of nodes 50 Speed 0~50m/s Traffic CBR Packet Size 200,400,600,800,1000 bytes Packet Rate 250k/s Pause Time 500s Simulation Time 1000s Max Connection 40 Results Parameters: a. Packet Delivery Ratio: This energy based protocol (EMPSO) performs better than AOMDV and achieves 33% improvement in Packet Delivery Ratio. The comparison of these protocolsby varying packet rate isasgivenintable1.8. Table 1.8: Packet Delivery Ratio PDR 200 400 600 800 1000 AOMDV 49.2347 28.3298 25.6825 18.4943 23.0701 EMPSO 32.4732 40.2719 45.921 61.383 89.321
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1193 Figure 1.6 shows the performance of both protocols. This figure shows that Packet Delivery Ratio increases by increasing number of packets and more than AOMDV. Figure 1.6: Packet Delivery Ratio (Scenario-2) b. Overhead: This energy based protocol (EMPSO) performs better than AOMDV and achieves 21% improvement in Overhead. The comparison of these protocols by varying packet rate is as given in table 1.9. Table 1.9: Overhead Overhead 200 400 600 800 1000 AOMDV 5.582 7.855 7.424 14.884 15.431 EMPSO 14.374 12.499 10.482 8.3092 6.038 Figure 1.7 shows the performance of both protocols. This figure shows that Overhead decreases by increasingnumber of packets and it is more than AOMDV in case of 200,400and 600 packets but less in case of 800 and 1000 packets. Figure 1.7: Overhead (Scenario-2) c. Delay: This energy based protocol (EMPSO) performs better than AOMDV and achieves 49% improvement in delay. The comparison of these protocols by varying packet rate is as given in table 1.10. Table 1.10: Delay Figure 1.8 shows the performance of both protocols. This figure shows that delay increases by increasing number of packets but less than AOMDV. Figure 1.8: Delay (Scenario-2) e. Throughput: This energy based protocol (EMPSO) performs better than AOMDV and achieves 33% improvement in Throughput. The comparison of these protocols by varying packet rate is as given in table 1.11. Table 1.11: Throughput Throughput 200 400 600 800 1000 AOMDV 33.54 36.15 60.13 41.9 51.55 EMPSO 30.2 70.38 78.45 89.32 112.43 Figure 1.9 shows the performance of both protocols. This figure shows that Throughput increases by increasing number of packets and is more than AOMDV. Figure 1.9: Throughput (Scenario-2) Delay 200 400 600 800 1000 AOMDV 0.02 0.02 0.02 0.02 0.07 EMPSO 0.01 0.01 0.01 0.015 0.02
  • 6. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1194 f. Total Energy Consumption: This energy based protocol (EMPSO) performs better than AOMDV and achieves 25% improvement in Energy Consumption. The comparison of these protocols by varying packet rate is as given in table 1.12. Table 1.12: Total Energy Consumption Total Energy 200 400 600 800 1000 AOMDV 4992.59 4866.33 4823.25 4778.94 4896.06 EMPSO 4137.27 3822.38 3528.27 3429.28 3224.28 Figure 1.10 shows the performance of both protocols. This figure shows that Energy Consumption decreases by increasing number of packets and is less than AOMDV. Figure 1.10: Total Energy Consumption (Scenario-2) 1.2.3 Scenario3: Varying Speed To test the performance of the protocols 50 nodes are deployed with variable speed in the area of 1000x1000 m2 with fixed packet rate. Simulation is carried out using CBR traffic with maximum 40 connections. Other parametersare as given in the table 1.13. Table 1.13: Simulation Setup Results Parameters: a. Packet Delivery Ratio: This energy based protocol (EMPSO) performs better than AOMDV and achieves 75% improvement in Packet Delivery Ratio. The comparison of these protocols by varying speed is as given in table 1.14. Table 1.14: Packet Delivery Ratio PDR 10 20 30 40 50 AOMDV 23.3564 10.2126 27.8491 19.4062 14.9668 EMPSO 70.3293 73.492 81.859 84.2929 85.392 Figure 1.11 shows the performance of both protocols. This figure shows that Packet Delivery Ratio increases by increasing speed and is more than AOMDV. Figure 1.11: Packet Delivery Ratio (Scenario-3) b. Overhead: Thisenergy based protocol(EMPSO)performs better than AOMDV and achieves 56% improvement in Overhead. The comparison of these protocols by varying speed is as given in table 1.15. 1.15 Overhead Table Figure 1.12 shows the performance of both protocols. This figure showsthat Overhead increasesb increasingspeedbut it is less than AOMDV. Simulation Parameters Values Area 1000x1000 No. of nodes 50 Speed 10,20,30,40,50 m/s Traffic CBR Packet Size 1000 bytes Packet Rate 250k/s Pause Time 500s Simulation Time 1000s Max Connection 40 Overhead 10 20 30 40 50 AOMDV 9.269 23.539 8.17 13.07 15.545 EMPSO 3.292 3.928 5.391 6.927 7.037
  • 7. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1195 Figure 1.12: Overhead (Scenario-3) c. Delay: This energy based protocol (EMPSO) performs better than AOMDV and achieves7% improvement in Delay. The comparison of these protocols by varying speed is as given in table 1.16. Table 1.16: Delay Delay 10 20 30 40 50 AOMDV 0.07 0.06 0.04 0.03 0.05 EMPSO 0.02 0.04 0.04 0.05 0.05 Figure 1.13 shows the performance of both protocols. This figure shows that Delay increases by increasing speed and it is more than AOMDV on high speed value and less in low speed. Figure 1.13: Delay (Scenario-3) d. Throughput: This energy based protocol (EMPSO) performs better than AOMDV and achieves 27% improvement in Throughput. The comparison of these protocols by varying speed is as given in table 1.17. Table 1.17: Throughput Throughput 10 20 30 40 50 AOMDV 77.9 40.63 80.91 50.17 46.04 EMPSO 78.02 80.27 81.29 85.38 87.92 Figure 1.14 shows the performance of both protocols. This figure showsthat Throughput increases by increasingspeed and it is more than AOMDV even on high speed value. Figure 4.14: Throughput (Scenario-3) e. Total Energy Consumption: This energy basedprotocol (EMPSO) performs better than AOMDV and achieves 5% improvement in Total Energy Consumption.Thecomparison of these protocols by varying speed is as given in table 1.18. Table 1.18: Total Energy Consumption Total Energy 10 20 30 40 50 AOMDV 4988.97 4837.62 5057.01 5047.23 5012.22 EMPSO 4628.41 4583.28 4729.18 4838.21 4892.84 Figure 1.15 shows the performance of both protocols. This figure shows that Total Energy consumption increases by increasing speed and it is less than AOMDV even on high speed value. Figure 1.15: Total Energy Consumption (Scenario-3) 3. CONCLUSIONS In this paper, the analysisof the base protocolwhichisbased on Energy-Aware Multipath Routing Scheme with Particle Swarm Optimization is done. This protocol is implemented and tested on three different scenarios where its
  • 8. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 01 | Jan-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1196 performance is measured in terms of different parameters. The resultant parameters show that this energy based protocol performs better than AOMDV in all aspects. So, this protocol will be used in further work to enhance the performance of Mobile Ad hoc Network in terms of energy. ACKNOWLEDGEMENT I am indebted to my thesis supervisor Dr. Sanjay Sharma Prof. & head dept. of MCA MANIT, Bhopal for all their guidance and help. Their kind encouragement and motivation during the preparation of this thesis is highly appreciated. I wish to express my heartiest regards to my Co- supervisor Prof Dr. Pushpinder Singh Patheja, Associate Professor, Vellore Institute of Technology Bhopal, who assisted me and provided help throughout my research work. I express my appreciation and gratitude to my husband and my kids, and all other family members for their encouragement, moral support, understanding andpatience throughout the span of research work. REFERENCES [1] Kush, A., Taneja, S., & Sharma, D. (2010). Energy efficient routing for MANET. 2010 International Conference on Methods and Models in Computer Science (ICM2CS-2010). [2] Guodong, W., Gang, W., & Jun, Z. (2010). ELGR: An Energy-efficiency and Load-balanced Geographic Routing Algorithm for Lossy Mobile Ad Hoc Networks. Chinese Journal of Aeronautics, 23(3), 334- 340. [3] Fareena, N., Mala, A. S., & Ramar, K. (2012). Mobility Based Energy Efficient Multicast Protocol for MANET. Procedia Engineering, 38, 2473-2483. [4] Jamali, S., Rezaei, L., & Gudakahriz, S. J. (2013). An Energy-efficient Routing Protocol for MANETs: a Particle Swarm Optimization Approach. Journal of Applied Research and Technology, 11(6), 803-812. [5] Choukri, A., Habbani, A., & Koutbi, M. E. (2014). An energy efficient clustering algorithmforMANETs. 2014 International Conference on Multimedia Computing and Systems (ICMCS). [6] S.S. Basurra, M. De Vos, J. Padget, Y. Ji, T. Lewis, S. Armour,(2014). Energy Efficient Zone based Routing Protocol for MANETs, Ad Hoc Networks (2014) [7] Choudhury, D., Kar, D., Biswas, K. R, Saha, H. (2015). Energy efficient routing in mobile ad-hoc networks. 2015 International Conference and Workshop on Computing and Communication (IEMCON). [8] Das, S. K., & Tripathi, S. (2015). Energy EfficientRouting Protocol for MANET Based on Vague Set Measurement Technique. Procedia Computer Science, 58, 348-355. [9] Divya, M., Subasree, S., & Sakthivel, N. (2015). Performance Analysis of Efficient Energy Routing Protocols in MANET. Procedia Computer Science, 57, 890-897. [10] Patil, M., Naik, S. R., Nikam, V. B., & Joshi, K. K. (2015). Extended ECDSR protocol for energy efficient MANET. 2015 International Conference on Advanced Computing and Communication Systems. [11] Sara, Z., & Rachida, M. (2015). Energy-Efficient Inter-Domain Routing Protocol for MANETs. Procedia Computer Science, 52, 1059-1064. [12] Sumathi, K., & Priyadharshini, A. (2015). Energy Optimization in Manets Using On-demand Routing Protocol. Procedia Computer Science, 47, 460-470. [13] Aashkaar, M., & Sharma, P. (2016).Enhancedenergy efficient AODV routing protocol for MANET. 2016 International Conference on Research Advances in Integrated Navigation Systems (RAINS). [14] Dodke, S., Mane, P. B., & Vanjale, M. (2016). Asurvey on energy efficient routing protocol for MANET. 2016 2nd International Conference on Applied and Theoretical ComputingandCommunicationTechnology (iCATccT). [15] Kaliappan, M., Augustine, S., & Paramasivan, B. (2016). Enhancing energy efficiency andloadbalancing in mobile ad hoc network using dynamic genetic algorithms. Journal of Network and Computer Applications, 73, 35-43. [16] Kuo, W., & CHU, S. (2016). Energy Efficiency Optimization for Mobile Ad Hoc Networks. IEEE Access, 4, 928-940. [17] Logambal, R., & Chitra, K. (2016). Energy efficient hierarchical routing algorithm in MANETs. 2016 IEEE International Conference on Advances in Computer Applications (ICACA). [18] Tiwari, A., & Kaur, I. (2017). Performanceevaluaron of energy efficient for MANET using AODV routing protocol. 2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT).
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