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International Journal of Mobile Network Communications & Telematics ( IJMNCT) Vol. 4, No.5,October 2014 
GATEWAY BASED STABLE ELECTION 
MULTI HOP ROUTING PROTOCOL FOR 
WIRELESS SENSOR NETWORKS 
DOI : 10.5121/ijmnct.2014.4502 
Pallavi Jain1, Harminder kaur2 
M.Tech Research Scholar1, Assistant Professor2 
1,2 Guru Nanak Dev Engineering College Ludhaiana, Punjab India 
ABSTRACT 
A gateway based energy efficient multi hop routing protocol for wireless sensor networks (WSNs) is 
introduced. The main aim of our paper is to design a protocol which minimizes energy consumption. 
Gateway nodes are deployed in sensing field. These gateway 
also reduce distance for reliable transmission of data. 
based protocol is better in terms of network lifetime 
protocol like SEP which is single hop 
KEYWORDS 
hop. 
Wireless Sensor Networks, SEP, Clustering 
1. INTRODUCTION 
nodes are rechargeable, reduce traffic and 
Simulation results show that our proposed gateway 
lifetime, stability period, throughput etc; than 
Clustering, Gateway Nodes, Lifetime, Throughput, Energy. 
traditional 
A wireless sensor network consists of hundreds and thousands of micro sensors nodes. These are 
designed to sense data, transmit it to user. user 
The main components of WSN are: Sensor nodes, 
processor, Base Station (BS). Sensor nodes are basic component of WSNs. These are small in 
size, portable and light weight; the sensor nodes required sending data to BS. Another Ano 
component 
BS is another main component that collects all the data from different nodes. 
Figure 1: A Typical Wireless Sensor Network 
Classical approaches like direct Transmission used to send data from sensor nodes directly to BS 
and in Minimum Transmission Energy (MTE) nodes near BS has higher probability to send data 
than nodes which are located far away from BS. Therefore, need to 
introduce concept of 
clustering. lustering. In clustering, number of sensor nodes select a Cluster Head (CH) on the basis of 
19 
ther initial
International Journal of Mobile Network Communications & Telematics ( IJMNCT) Vol. 4, No.5,October 2014 
or residual energy, and then cluster the remaining nodes with these heads. Sensor nodes transmit 
data to CH; the main function of CH is to aggregate data of sensor nodes and transmits it to BS 
[10]. Sensor networks can be classified as Homogeneous protocols and heterogeneous protocols. 
Example of Homogeneous protocol is LEACH (Low Energy Adaptive Clustering Hierarchy. It is 
very basic protocol in which concept of clustering is used. In LEACH, nodes are distributed 
randomly having same energy. Therefore, need to introduce concept of heterogeneity which 
increases lifetime of the network by dividing energy on some parameters, here SEP (Stable 
Election Protocol) is introduced. In SEP, nodes are divided as normal node and advanced node 
having different energy levels. Now, it becomes easy to choose CH, mainly advanced nodes 
become CH according to random number when compared with threshold values. 
We propose a new gateway based SEP protocol, G-SEP, which increases network lifetime i.e. 
stability period, throughput and data transmission from nodes to CH as well as to BS. The 
proposed protocol senses that election probabilities are weighted on initial energy of node relative 
to that of other nodes in the network. In our proposed protocol, rechargeable gateway nodes are 
used which are placed at the edge of sensing field and BS is located far away from sensing field. 
20 
2. RELATED WORK 
In [1], homogeneous clustering based LEACH routing protocol for WSNs is introduced. In 
LEACH, it uses same energy level for all sensor nodes which are randomly distributed over the 
sensing field; then CH is chosen and finally transmits data to BS. This technique shows 
improvement over DT, MTE, but need to be more improved. 
In [8], heterogeneous clustering based SEP routing protocol is presented. Here, heterogeneity 
means different energy levels i.e. normal nodes and advance nodes are considered. The energy of 
advance nodes is higher than that of normal nodes. Advance nodes have more probability to 
become CH per iteration. Therefore, increases lifetime as compared to LEACH. However, 
transmission rate do not show much improvement. 
In [10], an extension to SEP is introduced known as Enhanced SEP. In this, three levels of 
energies are used: normal nodes, intermediate nodes, advance nodes. Energy of advance nodes is 
highest then intermediate nodes then normal nodes. This protocol reduces distance among CHs 
and BS which prolongs lifetime of the network and also increases stability period. 
In [11], heterogeneity aware hierarchical SEP for WSNs is designed. In HSEP, two energy levels 
of nodes are used i.e. normal and advanced nodes and even two types of CH are being elected; 
primary CH and secondary CH. Primary CH is being elected from sensor nodes while secondary 
is elected from primary CHs i.e. only primary CHs can take part in electing Secondary CH and 
transmits data to BS. This protocol outperforms DEEC, ESEP, SEP and LEACH. 
In [12], a mobile sink based SEP is introduced. BS is kept mobile at the center trajectory so that 
nodes can easily transfer data directly to BS or via CH being elected from weighted election 
probabilities. It out performs SEP and LEACH, but mobility of BS is risky in dropping data and 
even cost is introduced to manage it. 
In [13], gateway nodes are introduced, a gateway node is deployed at the place of BS and BS is 
moved out of the sensing field. In this research, energy consumption is reduced by dividing field 
into four regions. Region 1 sends data directly to BS, region 2 communicated directly to gateway 
node and region 3, 4 uses clustering technique i.e. CHs to transmit data to BS. M-GEAR 
outperforms well in terms of stability period, throughput and remaining energy than LEACH.
International Journal of Mobile Network Communications & Telematics ( IJMNCT) Vol. 4, No.5,October 2014 
In [17], author proposed a modified energy efficient protocol named as EM-SEP. In the research, 
author modified CH selection criteria by balancing energy consumption to increase lifetime of the 
network and also to increase stability period of WSN. Even authors worked on the concept if 
there is more than one SN available to become CH then it would pick the node having highest 
energy. Simulation results showed that EM- SEP performs 5% in terms of stability period and 5% 
in lifetime of network than SEP. 
In [19] Zonal-Stable Election Protocol (ZSEP) uses the concept of both direct transmission and 
clustering. ZSEP divides network field into three zones, zone0, head zone 1, head zone 2, where 
in zone 0 which is defined around sink that is close to sink are equipped with only normal nodes, 
and zone 1 and zone 2 are at corners or zone which are at distance from sink are equipped with 
advanced nodes, as they have more initial energy. Zone 0 nodes uses direct transmission of data 
to BS but head zone 1 and head zone 2 uses clustering approach (advance nodes) for data 
transmission to sink. Simulation results showed that there is 1.4 times improvement in stability 
period as compared to SEP. 
In [20] author proposed Energy Consumption Rate based Stable Election Protocol (ECRSEP), in 
which CHs are elected on the basis of weighted election probabilities of each node according to 
the energy consumption rate (ECR) of each node. In ECRSEP energy consumption is calculated 
mathematically as shown in equation 2.1: 
21 
ECR = 
 
	
 (2.1) 
Where,
is initial energy, 	 is residual energy of each node and r is current round. In next 
round CH is selected on the basis of ECR in previous round so, a CH selected in present round 
have less chances to be selected as CH in next round because of more ECR as compared to other 
nodes, so a node having high ECR have more chances of becoming cluster head node. Simulation 
results showed that ECRSEP performs well in terms of stable region, overall lifetime 3 times and 
3.3 times respectively as compared to SEP. 
IN [25] fixed zone clustering protocol (FZCP) in which CH is elected on the basis of ratio of 
residual energy to its average energy as in DEEC and EDFM. Now, network area is divided into 
sub regions. As in other protocols like DEEC, SEP random number is generated and compared 
with threshold value, but in FZCP author introduced concept of cost function which is defined as 
product of ratio of residual energy to average energy and expected energy consumption to average 
energy consumption. Simulation settings and results showed 38% improvement in first dead node 
than SEP and 61% in terms of lifetime of the network than SEP. 
3. NETWORK MODEL OF PROPOSED PROTOCOL 
3.1 Basic Assumptions: 
• We deploy the BS far away from the sensing field. Sensor nodes and the BS are stationary 
after deployment. 
• A gateway node is deployed in the same network field at the edge of the network. 
• Gateway nodes are stationary after deployment and rechargeable. 
• Each sensor node has distinctive identifier (ID). 
• Nodes are uniformly distributed in the network.
International Journal of Mobile Network Communications  Telematics ( IJMNCT) Vol. 4, No.5,October 2014 
22 
3.2 First Order Radio Model: 
According to the radio energy dissipation model as illustrated in Figure 2, in order to achieve an 
acceptable Signal-to-Noise Ratio (SNR) in transmitting an L−bit message over a distance d, the 
energy expended by the radio is given by: 
Transmitter 
Electronics 
Transmitter 
Amplifier 
0678 4 
012 3  345 
09:3 
Receiver 
Electronics 
012 3 
L-bit 
Figure 2: Radio Energy Dissipation Model 
L-bit 
    
      ! # $ % 
    ' ( # ) % 
* (1) 
d 
Where, is the energy dissipated per bit to run the transmitter or the receiver circuit, 
 and' depends on the transmitter amplifier model, and d is the distance between the sender 
and the receiver. 
At d=do 
%  + 
,- 
./ 
(2) 
We assume S1 sensors which are deployed randomly in a field to monitor environment. We 
represent ith sensor by S1i and consequent sensor node set S1= S11, S12 ….. S1n. 
Number of gateway nodes is deployed at the edge of the sensing field. The number of gateway 
nodes is chosen approximately according to sensor field area and formation of CHs. Its value is 
approx. 16. The major advantage of gateway nodes is they are rechargeable and it also reduces 
distance for transmission.
International Journal of Mobile Network Communications  Telematics ( IJMNCT) Vol. 4, No.5,October 2014 
23 
Figure 3: Network Model of G- SEP 
 Advanced nodes 
 Normal nodes 
× Base Station 
* Gateway nodes 
3.3 SEP (Stable Election Protocol) 
In SEP protocol a percentage of population of sensor nodes is equipped with additional energy 
resources, this is a source of heterogeneity. The nodes are randomly distributed over the field and 
BS is located far away from sensing field. The advance nodes have higher probability to become 
CH than that of normal nodes. CH is being elected on the weighted probabilities of initial energy. 
Fractions of nodes ‘m’ are equipped with additional energy factor ‘’. Now, suppose ; is initial 
energy of system, energy of advance node is ; (1+), then total initial energy is 
 =  ? @ = ;   = @ = ; =   A   = ;  A@ (3) 
Total energy is increased by   A@ times. Now, to optimize stable region, new epoch 
is 

 
BC/D 
   A@because system has increased byA@. 
Probability for normal nodes to become cluster heads once every 

 
BC/D 
   A@round 
per epoch. 
Probability for advance nodes to become cluster heads exactly 1+Atimes every 

 
BC/D 
   
A@round per epoch. 
To prolong the stable region there is need the constraint of maintaining well balanced 
energy consumption, which can be done by defining weighted election probability which 
is given in equation 4
International Journal of Mobile Network Communications  Telematics ( IJMNCT) Vol. 4, No.5,October 2014 
24 
W = 
EFGHGIJFKLM%INO%P 
EFGHGIJFKLM%O%KIO%P 
(4) 
For normal nodes weighted probability is- 
Q
	R  'C/D 

S=T (5) 
For advanced nodes weighted probability is- 
QUV5  'C/D 

S=I =   W (6) 
As advanced nodes have  time more initial energy they must have to be cluster head  times 
more than normal nodes, which are ensured by these equations. There are different threshold 
values for normal and advanced nodes which are given below: 
Threshold function for normal nodes- 
XFK Y 
'Z[. 

]^	=R_V` a 
b] 
cd 
 efg  h 
 
ijklmneo 
p (7) 
Where r is current round, g’ is set of normal nodes that have not been cluster head in last  
 
BZ[. 
rounds. 
Threshold function for advanced nodes- 
XIPq  Y 
'rst 

uvwx	=R_Vy a 
buvw 
z{ 
 efg  h 
 
ijklmneo 
p (8) 
Where r is current round, g’’ is set of advance nodes that have not been cluster head in last  
 
Brst 
rounds. 
4. OUR PROPOSED PROTOCOL 
In this section, we present detail of our gateway based protocol. The function of CHs is to 
aggregate data of sensor nodes and sends it to the base station. In order to improve network 
lifetime, we make use of gateway nodes which are deployed at the edge of the sensor field. The 
numbers of gateway nodes are selected on the approximation basis of formation of number of 
CHs so that each CH can send data to nearest located gateway node. It reduces time consumption. 
The main function of gateway nodes is to collect data from CHs, aggregate it and sends to the BS. 
The gateway nodes are rechargeable so cost is minimized. Another advantage is in case if one of 
gateway node is damaged then it can be overcome by another nearest located gateway node. 
Gateway nodes reduces traffic problems as having multiple numbers of gateway nodes so, 
distance is also reduced. Sensor nodes which are very closer to gateway nodes can transmit data 
directly to gateway node if it is free i.e. not receiving data from CH. The whole process is divided 
into three phases: one is to sense data according to requirements; second is election of CH on the 
basis of weighted election probabilities of initial energies and comparing threshold values with 
random generated number, usually advance nodes take part in this; third is to transmit data from
International Journal of Mobile Network Communications  Telematics ( IJMNCT) Vol. 4, No.5,October 2014 
CH to nearest located gateway node by calculating minimum distance to increase stability period 
of the network. These gateway nodes aggregates data and transmit it to BS. Equations for 
gateway based SEP are: 
25 
For gateway based, normal nodes weighted probability is- 
Q
	R  'C/D 

S
=T
 (9) 
For gateway based, advanced nodes weighted probability is- 
QUV5  'C/D 

S
=I
 =   W (10) 
5. SIMULATION RESULTS 
5.1 Simulation Settings 
We simulated our proposed protocol using MATLAB. Consider a WSN with nodes randomly 
distributed in 100*100 fields. We compare our proposed protocol with existing SEP protocol. 
Table 1: Radio Parameters 
Number Of Nodes n 100 
Initial Energy | 0.5 [J] 
Packets Sent Message Size 4000 [bits] 
Transmitter and Receiver Energy  50 [g}/bit] 
Dissipation Energy ~ 5 [g} /bit/signal] 
Free Space Energy   10 [Q} /bit/m2] 
Multipath Propagation Energy ' 0.0013 [Q} /bit/m4] 
Number of Rounds No. of Iterations 2000 
Fraction of Advance Nodes for SEP m 0.3 
Fraction of Extra Energy for SEP  3.5 
Fraction of Advance Nodes for 
Proposed SEP 
m1 0.4 
Fraction of Extra Energy for 
Proposed Gateway SEP 
1 3
International Journal of Mobile Network Communications  Telematics ( IJMNCT) Vol. 4, No.5,October 2014 
26 
5.2 Stability period (FND) 
It is the time interval from the start of the network operation until the death of the first node. This 
is also referred as “stable region” as shown in Figure 4. This figure depicts that First dead node of 
proposed protocol is at 1381 round and for SEP is 1318 i.e. stability period is increased of our 
proposed protocol. 
Figure 4: First Dead Node 
5.3 Number of Half dead nodes per iteration 
It is measure the total number of nodes and that of each type that has expended half of their 
energy as shown in figure 5. This figure shows that in our gateway based protocol at round 700, 
57 nodes are half dead, than they remain constant till round 1700 and at 2000 they are fully dead; 
and in SEP there are 70, half dead nodes at round 700. Therefore, number of dead nodes 
decreases in our proposed protocol. 
Figure 5: Number of Half Dead Node
International Journal of Mobile Network Communications  Telematics ( IJMNCT) Vol. 4, No.5,October 2014 
27 
5.4 Number of dead (total, Normal and advanced) nodes per iteration: 
This instantaneous measure the total number of nodes and that of each type that has expended all 
of their energy as shown in figure 6, 7, 8. 
Figure 6 depicts total number of dead nodes it is 57 in case of proposed protocol and 70 in SEP. 
Figure 7 depicts those Number of Normal dead nodes: all the normal nodes are dead in both the 
cases. 
Figure 8 depicts those Number of Advance dead nodes: there is no advance node dies. 
Figure 6: Number of Dead Nodes
International Journal of Mobile Network Communications  Telematics ( IJMNCT) Vol. 4, No.5,October 2014 
28 
Figure 7: Number of Normal Dead Nodes Figure 8: Number of Advanced Dead Nodes 
5.5 Number of alive (total, Normal and advanced) nodes per iteration: 
The total number of nodes and that of each type that has not yet expended all of their energy as 
showed below in figure 9, 10, 11. 
Figure 9 depicts number of alive nodes it is 43 in our proposed protocol and 30 in case of SEP. 
Figure 10 shows number of Normal alive nodes at round 2000 no normal node is alive, all are 
dead. 
Figure 11 shows number of advance alive nodes; at round 2000 all advance nodes are alive it is 
40 in our proposed protocol and 30 in SEP.
International Journal of Mobile Network Communications  Telematics ( IJMNCT) Vol. 4, No.5,October 2014 
29 
Figure 9: Number of Alive Nodes 
Figure 10: Number of Normal Alive Nodes Figure 11: Number of Advanced Alive Nodes 
5.6 Data Packets to Cluster Heads: 
The result for amount of data transmitted by nodes to their respective cluster heads is shown in 
figure 12. Figure depicts rate of data transmitted to CH in our Gateway based protocol is much 
higher as compared to SEP as shown in figure at round 2000, 35% of data is transmitted while 
traditionally only 20% is sent.
International Journal of Mobile Network Communications  Telematics ( IJMNCT) Vol. 4, No.5,October 2014 
30 
Figure 12: Number of packets sent to CH 
5.7 Data Packets to Base Station: 
The result for amount of data transmitted by cluster heads to base station is shown in figure 13. 
Figure depicts rate of data transmitted to BS in our Gateway based protocol is much higher as 
compared to SEP as shown in figure at round 2000, 22% of data is transmitted while traditionally 
only 12% is sent. 
Figure 13: Number of packets sent to BS
International Journal of Mobile Network Communications  Telematics ( IJMNCT) Vol. 4, No.5,October 2014 
31 
5.8 SEP Throughput: 
It is defined as total rate of data sent over the network i.e. it is rate of data sent from sensor nodes 
to their CHs and CHs to BS. Throughput of G-SEP and Sep is shown in figure 14 which depicts 
that throughput of Proposed protocol is much higher than that of SEP. 
Figure 14: Throughput of SEP 
Table 2: Simulation Results 
Operation SEP Proposed Protocol 
First Node Dies 1318 1381 
Number of Dead Nodes 70 57 
Number of Normal dead nodes 70 57 
Number of Advanced dead nodes 0 0 
Number of Alive Nodes 30 43 
Number of Normal alive nodes 0 0 
Number of Advanced alive nodes 30 40
International Journal of Mobile Network Communications  Telematics ( IJMNCT) Vol. 4, No.5,October 2014 
32 
6. CONCLUSION AND FUTURE SCOPE 
A gateway based network model in order to minimize energy consumption of sensor network is 
designed. In this research, numbers of gateway nodes are located at the edge of sensing field area. 
The base station is located away from the sensing field. This technique encourages better 
transmission of data which further increases lifetime of the network. Simulation results are 
computed in MATLAB and check for the efficiency of our proposed protocol. Simulation results 
show that our proposed protocol performs well in term of stability period, network lifetime, 
packets sent to BS and CHs, throughput than existing Stable election Protocol. This proposed 
protocol can be extended by considering residual energy in formation of CHs or can also be 
extended by considering intermediate nodes having energy less than advance nodes but more than 
normal nodes. 
ACKNOWLEDGEMENT 
I would like to thank Er. Harminder Kaur to provide me the important material  
guidance to stimulate this protocol. 
REFRENCES 
[1] W.R. Heinzelman, A.P. Chandrakasan, and H. Balakrishnan, “Energy-efficient communication 
protocol for wireless microsensor networks,” Proceedings of the Hawaii International Conference on 
System Sciences, Maui, Hawaii, 2000, pp. 4-7. 
[2] M.B. Yassein, A.A. Zoubi, Y. Khamayseh, and W. Mardini, “Improvement on LEACH Protocol of 
Wireless Sensor Network (VLEACH),” International Journal of Digital Content Technology and its 
Applications, vol. 3, no 2, June 2009. 
[3] A.N. Pantazis, A. Nikolidakis, and D.D. Vergados, “Energy-efficient routing protocols in wireless 
sensor networks: A survey,” IEEE Communication Survey, vol. 15, no. 2, pp. 551-591, Nov. 2013. 
[4] P. Kumar, M.P. Singh, and U.S. Triar, “A review of routing protocols in wireless sensor network,” 
International Journal of Engineering Research  Technology, vol. 1, no. 4, pp. 247-641, June 2012. 
[5] A. Manjeshwar, A.Q. Zeng, and D.P. Agrawal, “An Analytical Model for Information Retrieval in 
Wireless Sensor Networks Using Enhanced APTEEN Protocol,” IEEE Transactions on Parallel and 
Distributed Systems, vol. 13, no. 12, Dec. 2002. 
[6] D. Kumar, A.C. Trilok, and R.B. Patel, “EEHC: Energy efficient heterogeneous clustered scheme for 
wireless sensor networks,” Computer Communications, vol. 32, pp. 662–667, 2009. 
[7] O. Younis, and S. Fahmy, “HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for 
Ad Hoc Sensor Networks,” IEEE Transaction Mobile Computing, vol.3, no. 4, pp. 366-379, 2002. 
[8] G. Smaragdakis, I. Matta, and A. Bestavros, “SEP: A stable election protocol for clustered 
heterogeneous wireless sensor networks,” in Proceding of the International Workshop on SANPA, 
Boston, USA, 2004, pp. 1–11. 
[9] S. Tyagi, and N. Kumar, “A systematic review on clustering and routing Techniques based upon 
LEACH Protocol for wireless sensor networks,” Journal of Network and Computer Applications, vol. 
36, pp. 623-645, May 2013. 
[10] F.A. Aderohunmu, D. D. Jeremiah, “An Enhanced Stable Election Protocol (SEP) for Clustered 
Heterogeneous WSN,” 2010. 
[11] A. Khan, N. Javaid, U. Qasim, Z. Lu, and Z. A. Khan, “HSEP: Heterogeneity aware Hierarchical 
Stable Election Protocol for WSNs,” Seventh International Conference on Broadband, Wireless 
Computing, Communication and Application, Victoria, Canada, 2012, pp. 373-3. 
[12] J. Wang, Z. Zhang, J. Shen, F. Xia, and S. Lee, “An Improved Stable Election based Routing Protocol 
with Mobile Sink for Wireless Sensor Networks,” IEEE International Conference on Green Computing 
and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, 
Beijing, China, 2013, pp. 945-950.

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Gateway based stable election

  • 1. International Journal of Mobile Network Communications & Telematics ( IJMNCT) Vol. 4, No.5,October 2014 GATEWAY BASED STABLE ELECTION MULTI HOP ROUTING PROTOCOL FOR WIRELESS SENSOR NETWORKS DOI : 10.5121/ijmnct.2014.4502 Pallavi Jain1, Harminder kaur2 M.Tech Research Scholar1, Assistant Professor2 1,2 Guru Nanak Dev Engineering College Ludhaiana, Punjab India ABSTRACT A gateway based energy efficient multi hop routing protocol for wireless sensor networks (WSNs) is introduced. The main aim of our paper is to design a protocol which minimizes energy consumption. Gateway nodes are deployed in sensing field. These gateway also reduce distance for reliable transmission of data. based protocol is better in terms of network lifetime protocol like SEP which is single hop KEYWORDS hop. Wireless Sensor Networks, SEP, Clustering 1. INTRODUCTION nodes are rechargeable, reduce traffic and Simulation results show that our proposed gateway lifetime, stability period, throughput etc; than Clustering, Gateway Nodes, Lifetime, Throughput, Energy. traditional A wireless sensor network consists of hundreds and thousands of micro sensors nodes. These are designed to sense data, transmit it to user. user The main components of WSN are: Sensor nodes, processor, Base Station (BS). Sensor nodes are basic component of WSNs. These are small in size, portable and light weight; the sensor nodes required sending data to BS. Another Ano component BS is another main component that collects all the data from different nodes. Figure 1: A Typical Wireless Sensor Network Classical approaches like direct Transmission used to send data from sensor nodes directly to BS and in Minimum Transmission Energy (MTE) nodes near BS has higher probability to send data than nodes which are located far away from BS. Therefore, need to introduce concept of clustering. lustering. In clustering, number of sensor nodes select a Cluster Head (CH) on the basis of 19 ther initial
  • 2. International Journal of Mobile Network Communications & Telematics ( IJMNCT) Vol. 4, No.5,October 2014 or residual energy, and then cluster the remaining nodes with these heads. Sensor nodes transmit data to CH; the main function of CH is to aggregate data of sensor nodes and transmits it to BS [10]. Sensor networks can be classified as Homogeneous protocols and heterogeneous protocols. Example of Homogeneous protocol is LEACH (Low Energy Adaptive Clustering Hierarchy. It is very basic protocol in which concept of clustering is used. In LEACH, nodes are distributed randomly having same energy. Therefore, need to introduce concept of heterogeneity which increases lifetime of the network by dividing energy on some parameters, here SEP (Stable Election Protocol) is introduced. In SEP, nodes are divided as normal node and advanced node having different energy levels. Now, it becomes easy to choose CH, mainly advanced nodes become CH according to random number when compared with threshold values. We propose a new gateway based SEP protocol, G-SEP, which increases network lifetime i.e. stability period, throughput and data transmission from nodes to CH as well as to BS. The proposed protocol senses that election probabilities are weighted on initial energy of node relative to that of other nodes in the network. In our proposed protocol, rechargeable gateway nodes are used which are placed at the edge of sensing field and BS is located far away from sensing field. 20 2. RELATED WORK In [1], homogeneous clustering based LEACH routing protocol for WSNs is introduced. In LEACH, it uses same energy level for all sensor nodes which are randomly distributed over the sensing field; then CH is chosen and finally transmits data to BS. This technique shows improvement over DT, MTE, but need to be more improved. In [8], heterogeneous clustering based SEP routing protocol is presented. Here, heterogeneity means different energy levels i.e. normal nodes and advance nodes are considered. The energy of advance nodes is higher than that of normal nodes. Advance nodes have more probability to become CH per iteration. Therefore, increases lifetime as compared to LEACH. However, transmission rate do not show much improvement. In [10], an extension to SEP is introduced known as Enhanced SEP. In this, three levels of energies are used: normal nodes, intermediate nodes, advance nodes. Energy of advance nodes is highest then intermediate nodes then normal nodes. This protocol reduces distance among CHs and BS which prolongs lifetime of the network and also increases stability period. In [11], heterogeneity aware hierarchical SEP for WSNs is designed. In HSEP, two energy levels of nodes are used i.e. normal and advanced nodes and even two types of CH are being elected; primary CH and secondary CH. Primary CH is being elected from sensor nodes while secondary is elected from primary CHs i.e. only primary CHs can take part in electing Secondary CH and transmits data to BS. This protocol outperforms DEEC, ESEP, SEP and LEACH. In [12], a mobile sink based SEP is introduced. BS is kept mobile at the center trajectory so that nodes can easily transfer data directly to BS or via CH being elected from weighted election probabilities. It out performs SEP and LEACH, but mobility of BS is risky in dropping data and even cost is introduced to manage it. In [13], gateway nodes are introduced, a gateway node is deployed at the place of BS and BS is moved out of the sensing field. In this research, energy consumption is reduced by dividing field into four regions. Region 1 sends data directly to BS, region 2 communicated directly to gateway node and region 3, 4 uses clustering technique i.e. CHs to transmit data to BS. M-GEAR outperforms well in terms of stability period, throughput and remaining energy than LEACH.
  • 3. International Journal of Mobile Network Communications & Telematics ( IJMNCT) Vol. 4, No.5,October 2014 In [17], author proposed a modified energy efficient protocol named as EM-SEP. In the research, author modified CH selection criteria by balancing energy consumption to increase lifetime of the network and also to increase stability period of WSN. Even authors worked on the concept if there is more than one SN available to become CH then it would pick the node having highest energy. Simulation results showed that EM- SEP performs 5% in terms of stability period and 5% in lifetime of network than SEP. In [19] Zonal-Stable Election Protocol (ZSEP) uses the concept of both direct transmission and clustering. ZSEP divides network field into three zones, zone0, head zone 1, head zone 2, where in zone 0 which is defined around sink that is close to sink are equipped with only normal nodes, and zone 1 and zone 2 are at corners or zone which are at distance from sink are equipped with advanced nodes, as they have more initial energy. Zone 0 nodes uses direct transmission of data to BS but head zone 1 and head zone 2 uses clustering approach (advance nodes) for data transmission to sink. Simulation results showed that there is 1.4 times improvement in stability period as compared to SEP. In [20] author proposed Energy Consumption Rate based Stable Election Protocol (ECRSEP), in which CHs are elected on the basis of weighted election probabilities of each node according to the energy consumption rate (ECR) of each node. In ECRSEP energy consumption is calculated mathematically as shown in equation 2.1: 21 ECR = (2.1) Where,
  • 4. is initial energy, is residual energy of each node and r is current round. In next round CH is selected on the basis of ECR in previous round so, a CH selected in present round have less chances to be selected as CH in next round because of more ECR as compared to other nodes, so a node having high ECR have more chances of becoming cluster head node. Simulation results showed that ECRSEP performs well in terms of stable region, overall lifetime 3 times and 3.3 times respectively as compared to SEP. IN [25] fixed zone clustering protocol (FZCP) in which CH is elected on the basis of ratio of residual energy to its average energy as in DEEC and EDFM. Now, network area is divided into sub regions. As in other protocols like DEEC, SEP random number is generated and compared with threshold value, but in FZCP author introduced concept of cost function which is defined as product of ratio of residual energy to average energy and expected energy consumption to average energy consumption. Simulation settings and results showed 38% improvement in first dead node than SEP and 61% in terms of lifetime of the network than SEP. 3. NETWORK MODEL OF PROPOSED PROTOCOL 3.1 Basic Assumptions: • We deploy the BS far away from the sensing field. Sensor nodes and the BS are stationary after deployment. • A gateway node is deployed in the same network field at the edge of the network. • Gateway nodes are stationary after deployment and rechargeable. • Each sensor node has distinctive identifier (ID). • Nodes are uniformly distributed in the network.
  • 5. International Journal of Mobile Network Communications Telematics ( IJMNCT) Vol. 4, No.5,October 2014 22 3.2 First Order Radio Model: According to the radio energy dissipation model as illustrated in Figure 2, in order to achieve an acceptable Signal-to-Noise Ratio (SNR) in transmitting an L−bit message over a distance d, the energy expended by the radio is given by: Transmitter Electronics Transmitter Amplifier 0678 4 012 3 345 09:3 Receiver Electronics 012 3 L-bit Figure 2: Radio Energy Dissipation Model L-bit ! # $ % ' ( # ) % * (1) d Where, is the energy dissipated per bit to run the transmitter or the receiver circuit, and' depends on the transmitter amplifier model, and d is the distance between the sender and the receiver. At d=do % + ,- ./ (2) We assume S1 sensors which are deployed randomly in a field to monitor environment. We represent ith sensor by S1i and consequent sensor node set S1= S11, S12 ….. S1n. Number of gateway nodes is deployed at the edge of the sensing field. The number of gateway nodes is chosen approximately according to sensor field area and formation of CHs. Its value is approx. 16. The major advantage of gateway nodes is they are rechargeable and it also reduces distance for transmission.
  • 6. International Journal of Mobile Network Communications Telematics ( IJMNCT) Vol. 4, No.5,October 2014 23 Figure 3: Network Model of G- SEP Advanced nodes Normal nodes × Base Station * Gateway nodes 3.3 SEP (Stable Election Protocol) In SEP protocol a percentage of population of sensor nodes is equipped with additional energy resources, this is a source of heterogeneity. The nodes are randomly distributed over the field and BS is located far away from sensing field. The advance nodes have higher probability to become CH than that of normal nodes. CH is being elected on the weighted probabilities of initial energy. Fractions of nodes ‘m’ are equipped with additional energy factor ‘’. Now, suppose ; is initial energy of system, energy of advance node is ; (1+), then total initial energy is = ? @ = ; = @ = ; = A = ; A@ (3) Total energy is increased by A@ times. Now, to optimize stable region, new epoch is BC/D A@because system has increased byA@. Probability for normal nodes to become cluster heads once every BC/D A@round per epoch. Probability for advance nodes to become cluster heads exactly 1+Atimes every BC/D A@round per epoch. To prolong the stable region there is need the constraint of maintaining well balanced energy consumption, which can be done by defining weighted election probability which is given in equation 4
  • 7. International Journal of Mobile Network Communications Telematics ( IJMNCT) Vol. 4, No.5,October 2014 24 W = EFGHGIJFKLM%INO%P EFGHGIJFKLM%O%KIO%P (4) For normal nodes weighted probability is- Q R 'C/D S=T (5) For advanced nodes weighted probability is- QUV5 'C/D S=I = W (6) As advanced nodes have time more initial energy they must have to be cluster head times more than normal nodes, which are ensured by these equations. There are different threshold values for normal and advanced nodes which are given below: Threshold function for normal nodes- XFK Y 'Z[. ]^ =R_V` a b] cd efg h ijklmneo p (7) Where r is current round, g’ is set of normal nodes that have not been cluster head in last BZ[. rounds. Threshold function for advanced nodes- XIPq Y 'rst uvwx =R_Vy a buvw z{ efg h ijklmneo p (8) Where r is current round, g’’ is set of advance nodes that have not been cluster head in last Brst rounds. 4. OUR PROPOSED PROTOCOL In this section, we present detail of our gateway based protocol. The function of CHs is to aggregate data of sensor nodes and sends it to the base station. In order to improve network lifetime, we make use of gateway nodes which are deployed at the edge of the sensor field. The numbers of gateway nodes are selected on the approximation basis of formation of number of CHs so that each CH can send data to nearest located gateway node. It reduces time consumption. The main function of gateway nodes is to collect data from CHs, aggregate it and sends to the BS. The gateway nodes are rechargeable so cost is minimized. Another advantage is in case if one of gateway node is damaged then it can be overcome by another nearest located gateway node. Gateway nodes reduces traffic problems as having multiple numbers of gateway nodes so, distance is also reduced. Sensor nodes which are very closer to gateway nodes can transmit data directly to gateway node if it is free i.e. not receiving data from CH. The whole process is divided into three phases: one is to sense data according to requirements; second is election of CH on the basis of weighted election probabilities of initial energies and comparing threshold values with random generated number, usually advance nodes take part in this; third is to transmit data from
  • 8. International Journal of Mobile Network Communications Telematics ( IJMNCT) Vol. 4, No.5,October 2014 CH to nearest located gateway node by calculating minimum distance to increase stability period of the network. These gateway nodes aggregates data and transmit it to BS. Equations for gateway based SEP are: 25 For gateway based, normal nodes weighted probability is- Q R 'C/D S =T (9) For gateway based, advanced nodes weighted probability is- QUV5 'C/D S =I = W (10) 5. SIMULATION RESULTS 5.1 Simulation Settings We simulated our proposed protocol using MATLAB. Consider a WSN with nodes randomly distributed in 100*100 fields. We compare our proposed protocol with existing SEP protocol. Table 1: Radio Parameters Number Of Nodes n 100 Initial Energy | 0.5 [J] Packets Sent Message Size 4000 [bits] Transmitter and Receiver Energy 50 [g}/bit] Dissipation Energy ~ 5 [g} /bit/signal] Free Space Energy 10 [Q} /bit/m2] Multipath Propagation Energy ' 0.0013 [Q} /bit/m4] Number of Rounds No. of Iterations 2000 Fraction of Advance Nodes for SEP m 0.3 Fraction of Extra Energy for SEP 3.5 Fraction of Advance Nodes for Proposed SEP m1 0.4 Fraction of Extra Energy for Proposed Gateway SEP 1 3
  • 9. International Journal of Mobile Network Communications Telematics ( IJMNCT) Vol. 4, No.5,October 2014 26 5.2 Stability period (FND) It is the time interval from the start of the network operation until the death of the first node. This is also referred as “stable region” as shown in Figure 4. This figure depicts that First dead node of proposed protocol is at 1381 round and for SEP is 1318 i.e. stability period is increased of our proposed protocol. Figure 4: First Dead Node 5.3 Number of Half dead nodes per iteration It is measure the total number of nodes and that of each type that has expended half of their energy as shown in figure 5. This figure shows that in our gateway based protocol at round 700, 57 nodes are half dead, than they remain constant till round 1700 and at 2000 they are fully dead; and in SEP there are 70, half dead nodes at round 700. Therefore, number of dead nodes decreases in our proposed protocol. Figure 5: Number of Half Dead Node
  • 10. International Journal of Mobile Network Communications Telematics ( IJMNCT) Vol. 4, No.5,October 2014 27 5.4 Number of dead (total, Normal and advanced) nodes per iteration: This instantaneous measure the total number of nodes and that of each type that has expended all of their energy as shown in figure 6, 7, 8. Figure 6 depicts total number of dead nodes it is 57 in case of proposed protocol and 70 in SEP. Figure 7 depicts those Number of Normal dead nodes: all the normal nodes are dead in both the cases. Figure 8 depicts those Number of Advance dead nodes: there is no advance node dies. Figure 6: Number of Dead Nodes
  • 11. International Journal of Mobile Network Communications Telematics ( IJMNCT) Vol. 4, No.5,October 2014 28 Figure 7: Number of Normal Dead Nodes Figure 8: Number of Advanced Dead Nodes 5.5 Number of alive (total, Normal and advanced) nodes per iteration: The total number of nodes and that of each type that has not yet expended all of their energy as showed below in figure 9, 10, 11. Figure 9 depicts number of alive nodes it is 43 in our proposed protocol and 30 in case of SEP. Figure 10 shows number of Normal alive nodes at round 2000 no normal node is alive, all are dead. Figure 11 shows number of advance alive nodes; at round 2000 all advance nodes are alive it is 40 in our proposed protocol and 30 in SEP.
  • 12. International Journal of Mobile Network Communications Telematics ( IJMNCT) Vol. 4, No.5,October 2014 29 Figure 9: Number of Alive Nodes Figure 10: Number of Normal Alive Nodes Figure 11: Number of Advanced Alive Nodes 5.6 Data Packets to Cluster Heads: The result for amount of data transmitted by nodes to their respective cluster heads is shown in figure 12. Figure depicts rate of data transmitted to CH in our Gateway based protocol is much higher as compared to SEP as shown in figure at round 2000, 35% of data is transmitted while traditionally only 20% is sent.
  • 13. International Journal of Mobile Network Communications Telematics ( IJMNCT) Vol. 4, No.5,October 2014 30 Figure 12: Number of packets sent to CH 5.7 Data Packets to Base Station: The result for amount of data transmitted by cluster heads to base station is shown in figure 13. Figure depicts rate of data transmitted to BS in our Gateway based protocol is much higher as compared to SEP as shown in figure at round 2000, 22% of data is transmitted while traditionally only 12% is sent. Figure 13: Number of packets sent to BS
  • 14. International Journal of Mobile Network Communications Telematics ( IJMNCT) Vol. 4, No.5,October 2014 31 5.8 SEP Throughput: It is defined as total rate of data sent over the network i.e. it is rate of data sent from sensor nodes to their CHs and CHs to BS. Throughput of G-SEP and Sep is shown in figure 14 which depicts that throughput of Proposed protocol is much higher than that of SEP. Figure 14: Throughput of SEP Table 2: Simulation Results Operation SEP Proposed Protocol First Node Dies 1318 1381 Number of Dead Nodes 70 57 Number of Normal dead nodes 70 57 Number of Advanced dead nodes 0 0 Number of Alive Nodes 30 43 Number of Normal alive nodes 0 0 Number of Advanced alive nodes 30 40
  • 15. International Journal of Mobile Network Communications Telematics ( IJMNCT) Vol. 4, No.5,October 2014 32 6. CONCLUSION AND FUTURE SCOPE A gateway based network model in order to minimize energy consumption of sensor network is designed. In this research, numbers of gateway nodes are located at the edge of sensing field area. The base station is located away from the sensing field. This technique encourages better transmission of data which further increases lifetime of the network. Simulation results are computed in MATLAB and check for the efficiency of our proposed protocol. Simulation results show that our proposed protocol performs well in term of stability period, network lifetime, packets sent to BS and CHs, throughput than existing Stable election Protocol. This proposed protocol can be extended by considering residual energy in formation of CHs or can also be extended by considering intermediate nodes having energy less than advance nodes but more than normal nodes. ACKNOWLEDGEMENT I would like to thank Er. Harminder Kaur to provide me the important material guidance to stimulate this protocol. REFRENCES [1] W.R. Heinzelman, A.P. Chandrakasan, and H. Balakrishnan, “Energy-efficient communication protocol for wireless microsensor networks,” Proceedings of the Hawaii International Conference on System Sciences, Maui, Hawaii, 2000, pp. 4-7. [2] M.B. Yassein, A.A. Zoubi, Y. Khamayseh, and W. Mardini, “Improvement on LEACH Protocol of Wireless Sensor Network (VLEACH),” International Journal of Digital Content Technology and its Applications, vol. 3, no 2, June 2009. [3] A.N. Pantazis, A. Nikolidakis, and D.D. Vergados, “Energy-efficient routing protocols in wireless sensor networks: A survey,” IEEE Communication Survey, vol. 15, no. 2, pp. 551-591, Nov. 2013. [4] P. Kumar, M.P. Singh, and U.S. Triar, “A review of routing protocols in wireless sensor network,” International Journal of Engineering Research Technology, vol. 1, no. 4, pp. 247-641, June 2012. [5] A. Manjeshwar, A.Q. Zeng, and D.P. Agrawal, “An Analytical Model for Information Retrieval in Wireless Sensor Networks Using Enhanced APTEEN Protocol,” IEEE Transactions on Parallel and Distributed Systems, vol. 13, no. 12, Dec. 2002. [6] D. Kumar, A.C. Trilok, and R.B. Patel, “EEHC: Energy efficient heterogeneous clustered scheme for wireless sensor networks,” Computer Communications, vol. 32, pp. 662–667, 2009. [7] O. Younis, and S. Fahmy, “HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks,” IEEE Transaction Mobile Computing, vol.3, no. 4, pp. 366-379, 2002. [8] G. Smaragdakis, I. Matta, and A. Bestavros, “SEP: A stable election protocol for clustered heterogeneous wireless sensor networks,” in Proceding of the International Workshop on SANPA, Boston, USA, 2004, pp. 1–11. [9] S. Tyagi, and N. Kumar, “A systematic review on clustering and routing Techniques based upon LEACH Protocol for wireless sensor networks,” Journal of Network and Computer Applications, vol. 36, pp. 623-645, May 2013. [10] F.A. Aderohunmu, D. D. Jeremiah, “An Enhanced Stable Election Protocol (SEP) for Clustered Heterogeneous WSN,” 2010. [11] A. Khan, N. Javaid, U. Qasim, Z. Lu, and Z. A. Khan, “HSEP: Heterogeneity aware Hierarchical Stable Election Protocol for WSNs,” Seventh International Conference on Broadband, Wireless Computing, Communication and Application, Victoria, Canada, 2012, pp. 373-3. [12] J. Wang, Z. Zhang, J. Shen, F. Xia, and S. Lee, “An Improved Stable Election based Routing Protocol with Mobile Sink for Wireless Sensor Networks,” IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, Beijing, China, 2013, pp. 945-950.
  • 16. International Journal of Mobile Network Communications Telematics ( IJMNCT) Vol. 4, No.5,October 2014 [13] Q. Nadeem, M. B. Rasheed, N. Javaid, Z. A. Khan, Y. Maqsood, and A. Din, “M-GEAR: Gateway- Based Energy-Aware Multi-Hop Routing Protocol for WSNs,” Eighth International Conference on Broadband, Wireless Computing, Communication and Applications, Compiegne, 2013, pp. 164-169. [14] A.L. Jamal, and K.E. Ahmed, “Routing techniques in wireless sensor networks: A survey,” IEEE 33 Wireless Communications, vol. 4, pp. 1536-1284, Dec. 2004. [15] W.R. Heinzelman, A.P. Chandrakasan, and H. Balakrishnan, “An application-specific protocol architecture for wireless microsensor networks,” IEEE Transaction on Wireless Communication, vol. 1, no. 4, pp. 660–670, Feb. 2002. [16] L. Mahajan, and N. Sharma, “Improving the Stable Period of WSN Using Dynamic Stable LEACH Election Protocol”, Proceedings of IEEE International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT), Ghaziabad, India, 2014, pp. 393-400. [17] A.A. Malluh, M.K. Elleith, Z. Qawaqney, and J.R. Mstafa, “EM-SEP: An Efficient Modified Stable Election Protocol”, Proceedings of IEEE American Society for Engineering Education (ASEE), Bridgeport, Connecticut, USA, 2014, pp. 1-7. [18] S.P. Yamunadevi, T.Vairam, C.Kalaiarasan, and G.Yidya, “Efficient Comparison of Multipath Routing Protocols in WSN,” International Conference on Computing, Electronics and Electrical Technologies, Kumaracoil, India, 2012, pp. 807-811. [19] S. Faisal, N. Javaid, A. Javaid, M.A. Khan, S.H. Bouk, and Z.A. Khan, “Z-SEP: Zonal-Stable Election Protocol for Wireless Sensor Networks”, Journal of Basic and Applied Scientific Research, vol. 3, 5, pp. 132-139, 2013. [20] O. Rehman, N. Javaid, B. Manzoor, A. Iqbal, M. Ishfaq, and A. Hafeez, “Energy Consumption Rate Based Stable Election Protocol for WSNs”, Journal of Computer Science, vol. 19, 4, pp. 932–937, 2013. [21] Q. Wang, and I. Balasingham, “Wireless sensor networks: Application centric design”, Journal of Communications, vol. 2, 5, pp. 134-149, 2010. 5. [22] A. Kashaf, N. Javaid, Z.A. Khan, and I.A. Khan, I. A., “TSEP– Threshold Sensitive Stable Election Protocol for WSNs”, Proceedings of IEEE International Conference on Frontiers of Information Technology (FIT), Islamabad, Pakistan, 2012, pp. 164-168. [23] A. Khan, N. Javaid, U. Qasim, Z. Lu, and Z.A. Khan, “HSEP: Heterogeneity-Aware Hierarchical Stable Election Protocol for WSNs”, Proceedings of IEEE International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA), Victoria, Canada, 2012, pp. 373- 378. [24] Y. Lu, D. Zhang, Y. Chen, X. Liu, and P. Zong, “Improvement of LEACH on Wireless Sensor Networks Based on Balanced Energy Strategy”, Proceedings of IEEE International Conference on Information and Automation (ICIA), Shenyang, China, 2012, pp. 111-115. [25] W. Jiojiu, W. Yuanming, and H. yanqi, “FZCP: A Fixed Zone Clustering Protocol Based on Residual Energy and Nodes Distribution in Heterogeneous Wireless Sensor Networks”, Proceedings of IEEE International Conference of Wireless Communications, Networking and Mobile Computing (WiCOM), Wuhan, China, 2011, pp. 1-5. [26] J. Yick, B. Mukherjee, and D. Ghosal, “Wireless Sensor Network Survey”, Journal of Computer Networks, vol. 52, no. 12, pp. 2292-2330, 2008. [27] L. Qing, Q, Zhu, and M. Wang, “Design of Distributed Energy-Efficient Clustering Algorithm for Heterogeneous Wireless Sensor Networks”, Journal of Computer Communications, vol. 29, no. 4, pp. 2230–2237, 2006. AUTHORS BIOGRAPHY Pallavi Jain completed her Bachelors of Technology in Electronics and communication engineering from GVIET, Banur affiliated to Punjab Technical University, Jalandhar, Punjab, India in 2012, and completed her Masters of Technology in Electronics and Communication Engineering from Guru Nanak Dev Engineering College, Ludhiana affiliated to Punjab Technical University, Jalandhar, Punjab, India in 2014. She yet has published two papers on wireless sensor networks and one on automization of mobile communication. Harminder Kaur is working as an Assistant Professor in India's one of most reputed Institute Guru Nanak Dev Engineering College Ludhiana, located in Punjab. She had completed her M.Tech. in communication systems in 2010 and having 3.5 years of teaching experience. She has published around 10 research papers in international and national conferences.