1887
Volume 2013, Issue 1
  • EISSN: 2223-506X

Abstract

By integrating Radio Frequency Identification (RFID) technology with Wireless Sensor Networks (WSN), it is feasible to route RFID data from readers and RFID enhanced wireless sensor nodes (WSN) into base-stations through existing WSN clustering protocols. WSNs for reducing energy consumption and improving stability period can use clustering algorithms. Clustering sensor nodes are a useful topology control technique, but these algorithms are not always suitable for heterogeneous WSNs. Previous constructive algorithms, such as LEACH and SEP are not always stable in heterogeneous WSNs. They are designed without regard to appropriate parameters, such as remaining power and confidence value of the nodes for WSNs. In this paper we suggest and introduce a novel stable heterogeneous cluster-based protocol with cluster member bounds for heterogeneous RFID enhanced WSNs, which called SHCP. In SHCP, the probability of cluster-heads (CHs) election are weighted by the primary energy of a node relative to that of other nodes in the network and cluster formation, based on nodes current energy, numbers of current members which belong to a CH, distance between CHs and nodes and distance between CHs and base-station. Our conclusion shows the simulation results show SHCP achieves longer stability time until the first node dies (FND), half nodes die (HND) and improves energy utilization in WSNs.

Loading

Article metrics loading...

/content/journals/10.5339/connect.2013.35
2013-10-01
2020-08-09
Loading full text...

Full text loading...

/deliver/fulltext/connect/2013/1/connect.2013.35.html?itemId=/content/journals/10.5339/connect.2013.35&mimeType=html&fmt=ahah

References

  1. Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci E. Wireless sensor networks: a survey. Comput Netw. 2002; 38:4:393422
    [Google Scholar]
  2. Römer K, Kasten O, Mattern F. Middleware challenges for wireless sensor networks. ACM SIGMOBILE Mobile Comput Commun Rev. 2002; 6:4:5961
    [Google Scholar]
  3. Yick J, Mukherjee B, Ghosal D. Wireless sensor network survey. Comput Netw. 2008; 52:12:22922330
    [Google Scholar]
  4. Sohrabi K, Gao J, Ailawadhi V, Pottie G. Protocols for self-organization of a wireless sensor network. IEEE Personal Commun. 2007; 7:5:1627
    [Google Scholar]
  5. Younis M, Youssef M, Arisha K. Energy-aware management for cluster-based sensor networks. Comput Netw. 2003; 43:5:649668
    [Google Scholar]
  6. Krishnamachari B, Estrin D, Wicker SB. The impact of data aggregation in wireless sensor networks. Proceedings of the 22nd International conference on Distributed Computing Systems. (ICDCSW '02). 2002;:575578
    [Google Scholar]
  7. Dietrich I, Dressler F. On the lifetime of wireless sensor networks. ACM Trans Sens Netw. 2009; 5:1:139
    [Google Scholar]
  8. Zhang Y, Yang L, Chen J. RFID and sensor networks: architectures, protocols, security, and integrations. Wireless Networks and Mobile Communications Series. Boca Raton, FL: CRC Press 2010:514
    [Google Scholar]
  9. Hai Liu Bolic M, Nayak A. Stojmenovic I. Taxonomy and Challenges of the Integration of RFID and Wireless Sensor Networks. IEEE Netw. 2008; 22:6:2635
    [Google Scholar]
  10. Ruzzelli AG, Jurdak R, O'Hare GMP. On the RFID wake-up impulse for multi-hop sensor networks. 2007 Proceedings of Fifth ACM Conference on Embedded Networked Sensor Systems. Workshop on Convergence of RFID and Wireless Sensor Networks and their Applications. 2007;
    [Google Scholar]
  11. Zhang L, Wang Z. Integration of RFID into wireless sensor networks: architectures, opportunities and challenging problems. 2006 Fifth International Conference on Grid and Cooperative Computing Workshops. Los Alamitos, CA: IEEE Computer Society 2006;:463469
    [Google Scholar]
  12. Heinzelman WB, Chandrakasan AP, Balakrishnan H. An application-specific protocol architecture for wireless microsensor networks. IEEE Trans Wireless Commun. 2002; 1:4:660670
    [Google Scholar]
  13. Handy MJ, Haase M, Timmermann D. Low energy adaptive clustering hierarchy with deterministic cluster-head selection. 4th International Workshop on Mobile and Wireless Communications Network. Stockholm, Sweden: Institute of Electrical and Electronics Engineers 2002;:368372
    [Google Scholar]
  14. Smaragdakis G, Matta I, Bestavros A. SEP: A stable election protocol for clustered heterogeneous wireless sensor networks. Proceedings of the International Workshop on SANPA. Boston, Mass, USA: Boston University Computer Science Department 2004;:111
    [Google Scholar]
  15. Song D. Probabilistic Modeling of Leach Protocol and Computing Sensor Energy Consumption Rate in Sensor Networks. Texas A and M University, USA: 2005;
    [Google Scholar]
  16. Younis O, Fahmy S. HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Trans Mobile Comput. 2004; 3:4:366379
    [Google Scholar]
  17. Lindsey S, Raghavendra CS. PEGASIS: power-efficient gathering in sensor information systems. Proceedings, IEEE Aerospace Conference. Reston, VA, USA: Institute of Electrical and Electronics Engineers 2012;:3-11253-1130
    [Google Scholar]
  18. Zhou H, Wu Y, Hu Y, Xie G. A novel stable selection and reliable transmission protocol for clustered heterogeneous wireless sensor networks. Comput Commun. 2010; 33:15:18431849
    [Google Scholar]
  19. Bari A, Jaekel A, Bandyopadhyay S. Clustering strategies for improving the lifetime of two-tiered sensor networks. Comput Commun. 2008; 31:14:34513459
    [Google Scholar]
  20. Shwe HY, Jiang XH, Horiguchi S. Energy saving in wireless sensor networks. J Commun Comput. 2009; 6:5:2028
    [Google Scholar]
  21. Rahman MO, Choi BG, Monowar MM, Hong CS. A Density Based Clustering for Node Management in Wireless Sensor Network. Heidelberg: Springer-Verlag 2007;:527530
    [Google Scholar]
  22. Kumar D, Aseri TC, Patel RB. EEHC: Energy efficient heterogeneous clustered scheme for wireless sensor networks. Comput Commun. 2009; 32:4:662667
    [Google Scholar]
  23. Kumar D, Trilok CA, Patel RB. Analysis on deployment cost and network performance for heterogeneous wireless sensor networks. IJCSIT. 2009; 1:2:109120
    [Google Scholar]
  24. Pahlavan K, Levesque AH. Wireless Information Networks. 1st ed. New York, NY: Wiley 1995;
    [Google Scholar]
  25. Golsorkhtabaramiri M, Hosseinzadeh M, Golsorkhtabaramiri A, Heikalabad SR. HCABS: The hierarchical clustering algorithm based on soft threshold and cluster member bounds for wireless sensor networks. IEICE Electron Express. 2012; 9:7:685690
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journals/10.5339/connect.2013.35
Loading
/content/journals/10.5339/connect.2013.35
Loading

Data & Media loading...

  • Article Type: Research Article
Keyword(s): clustering , heterogeneous WSN , RFID , routing and wireless sensor network
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error