HCERHSW: A Hierarchical, Clustering-based and Energy-aware Routing Algorithm for Homogenous and Static Wireless Sensor Networks

hossein jadidoleslamy

Abstract


Wireless sensor networks (WSNs) are new generation of wireless networks which have many potential applications and unique challenges. Some of their most important problems are their hard organization and management, limited resources, dynamic topology and low scalability. Also, maximum of energy consumption into these networks is occurred when transmitting data between network components. One significant technique against to these problems is data transmission by using of hierarchical, clustering-based and energy-aware routing protocols; they lead to more scalability, energy efficiency, prolonged network lifetime and easy management of large-scale WSNs. As a result, this paper is focused on proposing a hierarchical, clustering-based and energy-aware routing algorithm for homogenous and static WSNs which it called HCERHSW.


Keywords


Wireless Sensor Network (WSN); Routing; Hierarchical; Clustering; Energy-aware; Homogenous; Static;

Full Text:

PDF

References


H. Jadidoleslamy; A High-level Architecture for Intrusion Detection on Heterogeneous Wireless Sensor Networks: Hierarchical, Scalable and Dynamic Reconfigurable; International Journal of Wireless Sensor Network (WSN); Vol. 3. No. 7, pp. 241-261; July, 2011.

H. Jadidoleslamy; A Distributed and Hierarchical Intrusion Detection Architecture for Wireless Sensor Networks; International Journal of Network Security and its Applications (IJNSA); Vol. 3, No. 5, pp. 131-154; September, 2011.

H. Jadidoleslamy; Designing an Agent-based Intrusion Detection System for Heterogeneous Wireless Sensor Networks: Robust, Fault Tolerant and Dynamic Reconfigurable; International Journal of Communications, Network and System Sciences (IJCNS); Vol. 4, No. 8, pp. 523-543; August, 2011.

S. Mohammadi, R. A. Ebrahimi and H. Jadidoleslamy; A Comparison of Routing Attacks on Wireless Sensor Networks; International Journal of Information Assurance and Security (JIAS); ISSN 1554-1010 Volume 6, pp. 195-215; 2011.

S. Mohammadi, R. A. Ebrahimi and H. Jadidoleslamy; A Comparison of Link Layer Attacks on Wireless Sensor Networks; Journal of Information Security (JIS); Vol. 2, No. 2, pp. 69-84; April, 2011.

S. Mohammadi and H. Jadidoleslamy; A Comparison of Physical Attacks on Wireless Sensor Networks; International Journal of Peer to Peer Networks (IJP2P); Vol. 2, No. 2, pp. 24-42; April, 2011.

S. Mohammadi and H. Jadidoleslamy; A Comparison of Transport and Application Layers Attacks on Wireless Sensor Networks; International Journal of Information Assurance and Security (JIAS); ISSN 1554-1010 Volume 6, pp. 331-345; April, 2011.

H. Jadidoleslamy; A Comparison of Common Dynamic Cluster-Head Selection Clustering Techniques on Wireless Sensor Networks; International Journal of Wireless Sensor Network (WSN); Not published yet (Primary accepted); 2013.

H. Jadidoleslamy; An Introduction to Various Basic Concepts of Clustering Techniques on Wireless Sensor Networks; International Journal of Computational Engineering Research (IJCER); Not published yet (Primary accepted); 2013.

J. Yick, B. Mukherjee and D. Ghosal; Wireless Sensor Network Survey; Elsevier's Computer Networks Journal 52 (2292-2330); Department of Computer Science, University of California; 2008.

A. A. Abbasi, M. Younis; A survey on clustering algorithms for wireless sensor networks; ComputerCommunications, vol. 30, pp. 2826–2841; June, 2007.

O. Younis, M. Krunz, and S. Ramasubramanian; Node Clustering in Wireless Sensor Networks: Recent Developments and Deployment Challenges; IEEE Network; May/June, 2006.

H. Taheri, P. Neamatollahi, M. Naghibzadeh, M. H. YaghmaeeMoghadam; Improving on HEED Protocol of Wireless Sensor Networks using Non Probablistic Approach and Fuzzy Logic (HEED-NPF); IST’10; Dec, 2010.

G. Ran, H. Zhang, S. Gong; Improving on LEACH protocol of Wireless Sensor Networks Using Fuzzy Logic; Journal of Information &Comutational Science, pp. 767-775; 2010.

M. C. M. Thein, T. Thein; An Energy Efficient Cluster-Head Selection for Wireless Sensor Networks; International Conference on Intelligent Systems, Modelingand Simulation, pp. 287-291; 2010.

S. Bandyopadhyay and E. J. Coyle; An Energy Efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks; IEEE INFOCOM; April, 2003.

M. Liliana, C. Arboleda, and N. Nidal; Comparison of clustering algorithms and protocols for wireless sensor networks; in Proceedings of IEEE CCECE/CCGEI Conference, Ottawa, Ontario, Canada, pp. 1787–1792; May, 2006.

V. Loscri, G. Morabito, and S. Marano; A two-level hierarchy for low-energy adaptive clustering hierarchy; in Proceedings of IEEE VTC Conference 2005, Vol. 3, pp. 1809–1813; 2005.

A. Youssef, M. Younis, M. Youssef, and A. Agrawala; Distributed formation of overlapping multi-hop clusters in wireless sensor networks; in Proceedings of the 49th Annual IEEE Global Communication Conference (Globecom06), San Francisco, CA; November, 2006.

M. Ye, C. Li, G. Chen, and J. Wu; EECS: An energy efficient clustering scheme in wireless sensor networks; in Proceedings of IEEE International Performance Computing and Communications Conference (IPCCC’05), pp. 535–540, April 7–9, Phoenix, AZ; 2005.

Y. Jin, L. Wang, Y. Kim, and X. Yang; EEMC: An energy-efficient multi-level clustering algorithm for large-scale wireless sensor networks; Computer Networks Journal, 52, 542–562; 2008.

G. Li and T. Znati; RECA: A ring-structured energy-efficient clustering architecture for robust communication in wireless sensor networks; International Journal Sensor Networks, 2(1/2), 34–43; 2007.

C. Liu, K. Wu, and J. Pei; A dynamic clustering and scheduling approach to energy saving in data collection from wireless sensor networks; in Proceedings of the 2nd Annual IEEE Conference on Sensor and Ad Hoc Communications and Networks(SECON’05), pp. 374–385; September, 2005.

C. Wen and W. Sethares; Automatic decentralized clustering for WSNs; EURASIP Journal on Wireless Communications and Networking, 5(5), 686–697; 2005.


Refbacks

  • There are currently no refbacks.