Total views : 170

Energy Efficient Wireless Sensor Networks using Dual Cluster Head with Sleep/Active Mechanism

Affiliations

  • School of Computing, SRM University, Kattankulathur, Kancheepuram-603203, Tamil Nadu, India

Abstract


Objectives: In wireless sensor networks, high energy consumption occurs when the generated data is transmitted to the base station. This high energy consumption affects the longevity of the network. In a wireless sensor network, the energy of sensor nodes is a scarce resource. To extend the lifetime of wireless sensor network, it is essential to reduce the energy consumption. Methods/Statistical Analysis: In the proposed work, the classical LEACH protocol clustering algorithm is enhanced with sleep/active schedule and a new algorithm namely ESDCH (Energy Saving Dual-Cluster Head) protocol is proposed to prolong the network lifetime. In the proposed ESDCH method, the sensor nodes are organized into clusters. The sensor nodes in each cluster set their states into sleep/active mode based on their residual energies. In lieu of selecting a single cluster-head, our protocol selects two cluster heads in each cluster based on their residual energies. Firstly, a Primary-CH is chosen which is having the highest energy level, and a Secondary-CH is chosen from the remaining nodes which is having energy level next to Primary-CH and also closer to the Primary-CH. Because of wireless transmission capability, Primary-CH is able to receive data from other sensor nodes. Using multi-hop communication, every Primary-CH can aggregate data within each cluster and send the aggregated data to the base station. The Secondary-CH assumes the role of CH whenever the Primary-CH fails in its purpose. The entire simulations are carried out using MATLAB environment. Findings: The performance results obtained using ESDCH and the LEACH protocols are matched and the superiority of ESDCH performance is evaluated. From the simulation results, we show that the proposed protocol marginally reduces the total energy consumption in the network. Also, the simulation results show that the number of live nodes in the network is increased, packet transmission delay reduced and packet delivery rate increased in the proposed method. Application/ Improvement: In the newly introduced dual cluster head protocol, it would be shown that the energy consumed is much less and hence the network’s lifetime is increased.

Keywords

Clustering, Energy Efficiency, Life Time, Network, Protocol, Wireless Sensor Network.

Full Text:

 |  (PDF views: 186)

References


  • Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci E. Wireless sensor networks: a survey. Computer Networks. 2002 Mar; 38(4):393–422.
  • Jang S, Kim HY, Kim N, Chung TM. Energy efficient clustering scheme with concentric hierarchy. Proceedings of RFM, Malaysia, Negeri Sembilan; 2011. p. 79–82.
  • Selvi KB, Latha S. Conservatory of lifespan of heterogeneous wireless sensor network using ABC algorithm. Indian Journal of Science and Technology. 2015 Nov; 8(31):1–5.
  • Heinzelman WR, Chandrakasan, Balakrishnan H. Energy efficient communication protocol for wireless microsensor networks. Proceedings of 33rd HICSS, US; 2000. p. 1–10.
  • Lindsey S, Raghavendra CS. PEGASIS: Power Efficient Gathering in Sensor Information Systems. Proceedings of IEEE Aerospace Conference, Montana. 2002; 3:1125–30.
  • Bandyopadhyay S, Coyle EJ. An energy efficient hierarchical clustering algorithm for wireless sensor networks. Proceedings of 222nd INFOCOM, USA. 2003; 3:1713–23.
  • Manjeshwar A, Agrawal DP. TEEN: A routing protocol for enhanced efficiency in wireless Sensor Networks. Proceedings of 15th IPDPS, Cincinnati; 2011. p. 2009–15.
  • Lotf JJ, Bonab N, Khorsandi S. A novel cluster-based routing protocol with extending lifetime for wireless sensor networks. Proceedings of 5th IFIP, Surabaya; 2008. p. 1–5.
  • Younis O. HEED: A Hybrid, Energy-Efficient, Distributed clustering approach for adhoc sensor networks. IEEE Transactions on Mobile Computing. 2004 Oct-Dec; 3(4):366–79.
  • Majadi N. U-LEACH. A routing protocol for prolonging lifetime of wireless sensor networks. International Journal of Engineering Research and Applications. 2012 July-Aug; 2(4):1649–52.
  • Benjie C, Kyle J, Hari B, Robert M. Span, an energy-efficient coordination algorithm for topology maintenance in ad hoc wireless networks. Journal of Wireless Networks. 2002; 8(5):481–94.
  • Schurgers C, Tsiatsis V, Srivastava MB. STEM, topology management for energy efficient sensor networks. Proceedings of IEEE Aerospace Conference, Montana. 2002; 3:1099–108.
  • Schurgers C, Tsiatsis V, Ganeriwal S, Srivastava M. Optimizing sensor networks in the energy-latency-density design space. IEEE Transactions on Mobile Computing. 2002 Jan-Mar; 1(1):70–80.
  • Jing D, Han YS, Heinzelman WB, Varshney PK. Scheduling sleeping nodes in high density cluster-based sensor networks. Mobile Networks and Applications. 2005 Dec; 10(6):825–35.
  • Lin P, Qiao C, Wang X. Medium access control with a dynamic duty cycle for sensor networks. Proceedings of WCNC, USA. 2004; 3:1534–39.
  • Giacomin JC, Correia LHA, Heimfarth T, Pereira GM, Silva VF, De Santana JLP. Radio channel model of wireless sensor networks operating in GHz ISM band. Journal of Computer Science. 2010 Jan; 9(1):98–106.

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.