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ISSN (Print): 1872-2121
ISSN (Online): 2212-4047

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Research Article

Simulation Based Topology Optimization in Wireless Sensor Network

Author(s): Jeetu Sharma*, Reema Singh Chauhan and Akanksha Shukla

Volume 13, Issue 3, 2019

Page: [274 - 280] Pages: 7

DOI: 10.2174/1872212112666180501122009

Price: $65

Abstract

Background: Wireless Sensor Network (WSN) is among the most promising technologies that can be used to monitor crucial ambient conditions. WSNs are capable of effectively monitoring the environmental parameters and any habitat necessary to be investigated. Sometimes, it is very important to periodically monitor the critical environmental parameters such as humidity, temperature, soil moisture, fire, volcanic eruptions, Tsunamis, seismic waves and many more to react proactively to save lives and assets. This research work is an endeavor to present the importance and to determine the precise inter- nodal distance required for distinct applications. The networks of the different terrain area and internodal distance are deployed to evaluate and analyze the performance metrics such as a number of messages received average end to end delay (secs), throughput (bps) and jitter (secs). The influence of varying inter-nodal distance on the performance of WSN is determined to select the most appropriate value of the distance between nodes in particular monitoring application. The patents related to the topology based analysis of wireless nodes are reconsidered.

Methods: The placement of nodes and inter-nodal distance significantly influences the operation and performance of WSNs by diverging the ability of sensors to observe an event of interest and transmission of information to data aggregation nodes (sink nodes). Moreover, effective sensor placement also affects the resource management. The investigation of specific regions and habitats has peculiar constraints of node placement and inter-nodal distance making it highly application specific. In this research work, the intent is to monitor an entire area to attain optimum coverage to detect the occurrence of a significant event. The node placement and inter-nodal distance can be classified on the basis of the role played by the deployed nodes, like, placement of ordinary sensor nodes/Reduced Function Devices (RFDs) and relay nodes/Full Function Devices (FFDs), respectively. The sensors are compatible with IEEE 802.15.4/ZigBee protocol and application implemented is Constant Bit Rate (CBR) generator. This paper analyzed and evaluated the influence of placement and inter-nodal distance of RFDs to the data aggregation ability of sink node. The terrain area (m2) of different sensor networks deployed are 110×110, 200×200, 300×300, 400×400 and 500×500, respectively. The number of sensor nodes is constant equal to 100 to evaluate their ability to provide optimum performance. The parameter internodal distance is varied, keeping all other parameters constant to effectively evaluate its influence. The simulations are carried out on QualNet 6.1 simulator.

Results: The variation in inter-nodal distance significantly influences the performance metrics of the network such as the number of messages received, average end to end delay, throughput and jitter. In this paper, the distance between sensor nodes and terrain areas of grid topology is varied accordingly to deduce that which value of the inter-nodal distance and network provides optimum performance. The thorough evaluation of the simulation results presented that the inter-nodal distance of 30 m and terrain area of 300×300 m2 has generated optimum performance by providing the highest number of messages received (208) and highest throughput (2544.34 bps). It is also capable of providing minimum end to end delay (14.45 secs) and lowest jitter (6.67 secs).

Conclusion: The objective of this paper to determine the optimum inter-nodal distance and terrain area of a WSN of 100 nodes is successfully achieved. It is analyzed and evaluated that the inter-nodal distance of 30 m and terrain area of 300×300 m2 enhance and optimize the network performance significantly.

Keywords: Wireless Sensor Network (WSN), IEEE 802.15.4, ZigBee, QualNet 6.1, topology optimization, inter-nodal distance, terrain area.

Graphical Abstract

[1]
S. Meguerdichian, F. Koushanfar, M. Potkonjak, and M.B. Srivastava,, "Coverage Problems in Wireless Ad Hoc Sensor Networks", In: Proc. IEEE 20th Annual Joint Conference Computer and Communications Societies, AnchoragM, 2001, pp. 1380-1387.
[2]
S.S. Dhillon, and K. Chakrabarty, "Sensor Placement for Effective Coverage and Surveillance in Distributed Sensor Networks", In: Proc. IEEE International Conference Wireless Communications and Networking, New Orleans, USA, 2003, pp. 1609-1614.
[3]
C.F. Huang, and Y.C. Tseng, "The Coverage Problem in a Wireless Sensor Network", Mobile. Networks. Appl., vol. 10, pp. 519-528, 2005.
[4]
C.C. Shen, C. Srisathapornphat, and C. Jaikaeo,, "Sensor Information Networking Architecture and Applications", IEEE Personal Communications, vol. 8, pp. 52-59, 2001.
[5]
Z. Zhang, H. Zhao, J. Zhu, and D. Li,, "Research on Wireless Sensor Networks Topology Models", J. Software Eng. Appl., vol. 3, pp. 1167-1171, 2010.
[6]
A. Goyal, S. Vijay, and D.K. Jhariya,, "Simulation and Performance Analysis of Routing Protocols in Wireless Sensor Network using Qualnet", Int. J. Comput. Appl., vol. 52, pp. 47-50, 2012.
[7]
G. Raghavendra, and M. Balachandra, "Characteristic Analysis of VoIP Traffic for Wireless Networks in Comparison with CBR using Qualnet Network Simulator", Int. J. Comput. Appl., vol. 50, pp. 25-31, 2012.
[8]
H. Tian, H. Shen, and T, Matsuzawa,, "Developing Energy-Efficient Topologies and Routing for Wireless Sensor Networks", In: Proc. IFIP national Conference Network and Parallel Computing, Berlin, 2005, pp. 461-469.
[9]
C.Y. Chang, K-P. Shih, H-R. Chang, and H-J. Liu,, "WSN19-2: Energy-Balanced Deployment and Topology Control for Wireless Sensor Networks", In: Proc. IEEE International Conference Global Telecommunications, San Francisco, 2006, pp. 1-5.
[10]
C. Li, L. Wang, T. Sun, S, Yang, X, Gan, F, Yang, and X, Wang, , "Topology Analysis of Wireless Sensor Networks based on Nodes’ Spatial Distribution", IEEE Trans. Wirel. Commun., vol. 13, pp. 2454-2467, 2014.
[11]
P. Wang, Z. Sun, M.C. Vuran, M.A. Al-Rodhaan, A.M. Al- Dhelaan, and I.F. Akyildiz,, "Topology Analysis of Wireless Sensor Networks for Sandstorm Monitoring", In: Proc. IEEE International Conference Communications, Kyoto, 2011, pp. 1-5.
[12]
M. Liaqat, A. Gani, M.H. Anisi, S.H. Ab Hamid, A. Akhunzada, M.K. Khan, and R.L. Ali,, "Distance-Based and Low Energy Adaptive Clustering Protocol for Wireless Sensor Networks", PLoS One, vol. 11, pp. 1-29, 2016.
[13]
R. Sharama, J.U. Shankar, and S.T. Rajan,, "Effect of Number of Active Nodes and Inter-Node Distance on the Performance of Wireless Sensor Networks", In: Proc. IEEE 4th International Conference Communication Systems and Network Technologies, Bhopal, 2014, pp. 69-73.
[14]
P. Santi, "Topology Control in Wireless Ad Hoc and Sensor Networks", ACM Comput. Surv., vol. 37, pp. 164-194, 2005.
[15]
K.L. Huang, C-N. Wu, J-T. Wang, and C-C. Tseng,, "Power-Efficient Backbone-Oriented Wireless Sensor Network, Method for Constructing the Same and Method for Repairing the Same", U.S. Patent 8,427,992, 2013.
[16]
N. Bandeira, and L. Poulsen, "Scalable Wireless Network Topology Systems and Methods", U.S. Patent 6,728,514, 2004.
[17]
Y. Wang, "Topology control for wireless sensor networks", In: Wireless Sensor Networks and Applications, 1st ed. Boston: Springer, 2008, pp. 113-147.
[18]
S. Vural, and E. Ekici, "On Multihop Distances in Wireless Sensor Networks with Random Node Locations", IEEE Trans. Mobile Comput., vol. 9, pp. 540-552, 2010.
[19]
QualNet-SCALABLE Network Technologies (2012, August 12). Available Online:, http://www.scalablenetworks.com/content/product/qualnet
[20]
J. Li, L. Andrew, C. Foh, M. Zukerman, and HH Chen,, "Connectivity, Coverage and Placement in Wireless Sensor Networks", Sensors., vol. 9, pp. 7664-7693, 2009.
[21]
P. Gupta, and P.R. Kumar, "Critical Power for Asymptotic Connectivity in Wireless Networks", In: Stochastic Analysis, Control, Optimization and Applications: A Volume in Honor of W.H. Fleming, 1st ed. Boston: Springer, 1998, pp. 1106-1110.

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