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MDRP: An Energy-Efficient Multi-Disjoint Routing protocol in WSNs for Smart Grids

Open Access
|Aug 2020

Figures & Tables

Figure 1:

Asynchronous work-sleep cycle approach for nodes in the network.
Asynchronous work-sleep cycle approach for nodes in the network.

Figure 2:

Illustration of probe message transmission.
Illustration of probe message transmission.

Figure 3:

Probe message transmission.
Probe message transmission.

Figure 4:

Membership functions for input variables.
Membership functions for input variables.

Figure 5:

Membership function for output variables.
Membership function for output variables.

Figure 6:

Subsequent hop node selection.
Subsequent hop node selection.

Figure 7:

Multi disjoint path selection for data communication on the spanning tree.
Multi disjoint path selection for data communication on the spanning tree.

Figure 8:

Energy consumed by nodes in the network.
Energy consumed by nodes in the network.

Figure 9:

Hop count variation with increase in radio range.
Hop count variation with increase in radio range.

Figure 10:

Energy consumed vs network simulation time.
Energy consumed vs network simulation time.

Figure 11:

Packet delivery ratio.
Packet delivery ratio.

Figure 12:

Network lifetime.
Network lifetime.

Figure 13:

Avg end to end delay.
Avg end to end delay.

The design of the probe message_

FieldSidWork sleep cycleSTFAdjacent node idSink idFidEOH

Fuzzy decision rules_

Residual energyQueue sizeSTFLink qualityChance of becoming subsequent node
LowLowLowPoorLow
LowLowLowModerateLow
LowLowLowGoodWeak
LowLowMediumPoorLow
LowLowMediumModerateMedium
LowLowMediumGoodMedium
LowLowHighPoorWeak
LowLowHighModerateWeak
LowLowHighGoodMedium
LowMediumLowPoorLow
LowMediumLowModerateLow
LowMediumLowGoodLow
LowMediumMediumPoorLow
LowMediumMediumModerateWeak
LowMediumMediumGoodMedium
LowMediumHighPoorLow
LowMediumHighModerateWeak
LowMediumHighGoodMedium
LowHighLowPoorLow
LowHighLowModerateLow
LowHighLowGoodLow
LowHighMediumPoorLow
LowHighMediumModerateWeak
LowHighMediumGoodMedium
LowHighHighPoorWeak
LowHighHighModerateMedium
LowHighHighGoodHigh
MediumLowHighPoorLow
MediumLowHighModerateLow
HighLowLowPoorLow
HighLowLowModerateLow
HighLowLowGoodWeak
HighLowMediumPoorLow
HighLowMediumModerateWeak
HighLowMediumGoodMedium
HighLowHighPoorLow
HighLowHighModerateWeak
HighLowHighGoodMedium
HighMediumLowPoorWeak
HighMediumLowModerateMedium
HighMediumLowGoodHigh
HighMediumMediumPoorMedium
HighMediumMediumModerateHigh
HighMediumMediumGoodVery High
HighMediumHighPoorMedium
HighMediumHighModerateHigh
HighMediumHighGoodVery High
HighHighLowPoorWeak
HighHighLowModerateMedium

Simulation attributes_

ParametersValues
Size of the network(500 × 500) m2
No of mobile sink1
No of nodes in the network500
Mobility patternrandom
Time duration for data collection600 s
Communication range between sensor nodes20 m
Node’s initial energy2 J
Size of the buffer1,024 bits
Eelec 50 nJ/bit
E 0.0013 pJ/bit/m4
Size of probe message120 bits
Size of data packet1,024 bits

Fuzzy I/O variables and their linguistic terms_

I/O variablesLinguistic variables
Residual energy of node (NRE)Low, Medium, High
Queue size (QS)Low, Medium, High
Status transition frequency (STF)Low, Medium, High
Link quality (LQ)Poor, Moderate, Good
Possibility of turning into subsequent node for hoppingLow, Weak, Medium, High, Very high
Language: English
Page range: 1 - 15
Submitted on: Mar 4, 2020
Published on: Aug 18, 2020
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 K. Deepa, Zaheeruddin,, Shruti Vashist, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.