Multivariate Gaussian Mean Distributed Network Topology for Energy Efficient Communication in Wireless Sensor Networks

T. Shankar; S. Shanmugavel; A. Karthikeyan; Arshad Nadeem

doi:10.15866/irecos.v8i5.3269

Multivariate Gaussian Mean Distributed Network Topology for Energy Efficient Communication in Wireless Sensor Networks

T. Shankar^(1*), S. Shanmugavel⁽²⁾, A. Karthikeyan⁽³⁾, Arshad Nadeem⁽⁴⁾

^(*) Corresponding author

DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract

Wireless sensor network is a scenario where a base station collects all the sensor data from sensor nodes distributed in the field. A topological connectivity is essential for the better performance of wireless sensor networks. The proposed Multivariate Gaussian Mean Distribution (MGMD) topology consider node distribution around the centralized base station, hence density of sensor nodes are higher near base station. This type of distribution is suitable for application where the frequent monitoring is needed for particular region. The proposed Multivariate Gaussian Mean Distributed (MGMD) network topology for extending the life time of wireless sensors network also increasing the residual energy of nodes. The LEACH algorithm is taken in account to analyze the effect of proposed MGMD topology which gives better performance than random distribution of sensor nodes.
Copyright © 2013 Praise Worthy Prize - All rights reserved.

Keywords

Wireless Sensor Network; Clustering; Multivariate Gaussian Distribution; Topology

Full Text:

PDF

References

Wendi Rabiner Heinzelman, Anantha Chandrakasan, and Hari Balakrishnan, Energy-Efficient Communication Protocol forWireless Microsensor Networks, Proceedings of the 33rd Hawaii International Conference on System Sciences – 2000.

Ameer Ahmed Abbasi , Mohamed Younis, A survey on clustering algorithms for wireless sensor networks, Elsevier, Computer Communications 30 (2007) 2826–2841.

Wang Shao-qing, Nie Jing-nan, An Approach of Optimizing Power in WSN with Random Topology under Rayleigh Channels, 2008 IEEE, 978-1-4244-2108-4/08.

Ossama Younis, Marwan Krunz, and Srinivasan Ramasubramanian, Node Clustering in Wireless Sensor Networks: Recent Developments and Deployment Challenges, IEEE Network, May/June 2006, 0890-8044/06.

Qing Bian, Yan Zhang, Yanjuan Zhao, Research on Clustering Routing Algorithms in Wireless Sensor Networks, 2010 International Conference on Intelligent Computation Technology and Automation, IEEE computer society, 978-0-7695-4077-1/10.

Gut, Allan (2009), An Intermediate Course in Probability, Springer. ISBN 9781441901613 (Chapter 5).

Adnan Sultan, Madjid Merabti, Bob Askwith, Kashif Kifayat, Network connectivity in Wireless Sensor Networks: a Survey, 2009 IEEE, PGNet, ISBN: 978-1-902560-22-9.

XU Jiu-qiang, WANG Hong-chuan,LANG Feng-gao,WANG Ping,HOU Zhen-peng, Study on WSN Topology Division and Lifetime, 2011 IEEE, 978-1-4244-8728-8/11.

Dervis Karaboga, Selcuk Okdem, and Celal Ozturk, Cluster Based Wireless Sensor Network Routings using Artificial Bee Colony Algorithm, 2010 IEEE, 978-1-4244-7107-2/10.

S. Umamaheswari, G. Radhamani, Ant Colony Optimization Based Cache Discovery Algorithm for Mobile Ad Hoc Networks, (2013) International Review on Computers and Software (IRECOS), 8 (2), pp. 593-598.

M. Lehsaini, H. Guyennet, M. Feham, Cluster-based Self-Organization Scheme for Mobile Wireless Sensor Networks, (2008) International Review on Computers and Software (IRECOS), 3 (2), pp. 185-192.

M. Vahabi, M. H. F. Ghazvini, M. F. A. Rasid, R. S. A. R. Abdullah, Traffic Aware Data Collection MAC Protocol for Wireless Sensor Networks, (2008) International Review on Computers and Software (IRECOS), 3 (4), pp. 329 -336.

Hafedh Zayani, Rahma Ben Ayed, Wireless Sensor Networks Optimization: Cross-Layer (DSR-Z-MAC) and Synchronization Technique (SMAC), (2009) International Review on Computers and Software (IRECOS), 4 (1), pp. 113 – 118.

K S Shivaprakasha, Muralidhar Kulkarni, Energy Efficient Routing Protocols for Wireless Sensor Networks: a Survey, (2011) International Review on Computers and Software (IRECOS), 6 (6), pp. 929-943.

Chengzhi Long, Jianping Luo, Mantian Xiang, Guicai Yu, Optimal Cluster Head Cooperative Deployment in Heterogeneous Wireless Sensor Networks, (2011) International Review on Computers and Software (IRECOS), 6 (7), pp. 1228-1231.

Genjian Yu, Kunpeng Wen, Huibin Feng, Throughput Capacity of Hierarchical Wireless Sensor Networks, (2012) International Review on Computers and Software (IRECOS), 7 (1), pp. 234-240.

Shunyuan Sun, Qiu Zhang, Minfang Chen, Baoguo Xu, An Evolutionary Based Routing Protocol for Clustered Wireless Sensor Networks, (2012) International Review on Computers and Software (IRECOS), 7 (3), pp. 1380-1385.

Farzaneh Azimiyan, Esmaeil Kheirkhah, Mehrdad Jalali, Classification of Routing Protocols in Wireless Sensor Networks, (2012) International Review on Computers and Software (IRECOS), 7 (4), pp. 1614-1623.

Chengzhi Long, Yixing Li, Yihong Li, An Energy-efficient Transmission Scheme for Heterogeneous Wireless Sensor Networks Based on Virtual Header, (2012) International Review on Computers and Software (IRECOS), 7 (4), pp. 1906-1910.

Haibo Pu, Lijia Xu, An Improved Hierarchical Data Aggregation Mechanism in Wireless Sensor Network Based on LEACH, (2012) International Review on Computers and Software (IRECOS), 7 (5), pp. 2220-2225.

Zhi Chen, Shuai Li, Wenjing Yue, Luoquan Hu, Wanxin Sun, Bacterial Foraging Optimization Algorithm Based Routing Strategy for Wireless Sensor Networks, (2012) International Review on Computers and Software (IRECOS), 7 (6), pp. 2826-2830.

A. Narendrakumar, K. Thygarajah, Cooperative Fuzzy Based High Quality Link Routing in Wireless Sensor Networks, (2012) International Review on Computers and Software (IRECOS), 7 (6), pp. 2987-2992.

Refbacks

There are currently no refbacks.

Username
Password
Remember me