Oriental Journal of Computer Science and Technology

Open Access Open Access  Restricted Access Subscription Access

Rethinking Cluster-Based Routing in Wireless Sensor Networks


Affiliations
1 Department of Mathematics, University of Patras, Patras, Greece
 

A wireless sensor network (WSN) can be employed in many application areas such as traffic control and industrial automation. In WSNs, clustering achieves energy efficiency and scalable performance. A cluster is formed by several sensors nodes, and one of them is elected as cluster-head (CH). A CH collects information from the cluster members and sends aggregated sensed data to the base station (BS) or another CH. The main task of a routing protocol in a WSN is to forward these sensed data to the BS. This paper analyses the advantages of cluster-based routing protocols vs. flat routing protocols in WSNs.

Keywords

Clustering, Cluster-Based Routing Algorithms, Energy Efficiency, Routing Protocols, Wireless Sensor Networks.
User
Notifications
Font Size

  • Seah W., & Tan Y. (Eds) (2010) Sustainable Wireless Sensor Networks. InTech Open Access Publisher: Rijeka, Croatia, 2010.

  • Anisi M.H., Abdul-Salaam G., Idris M.Y.I., Wahab A.W.A., & Ahmedy I. (2017) Energy harvesting and battery power based routing in wireless sensor networks. Wireless Networks, 23(1), 249-266.

  • Pantazis N.A., Nikolidakis S.A., & Vergados, D.D. (2013) Energy efficient routing protocols in wireless sensor networks: A survey. IEEE Communications Surveys & Tutorials, 15(2), 551–591.

  • Popovic G., Djukanovic G., & Kanellopoulos D. (2018) Cluster head relocation based on selfish herd hypothesis for prolonging the life span of wireless sensor networks. Electronics, 7(12), 403.

  • Liu X. (2012) A survey on clustering routing protocols in wireless sensor networks. Sensors, 12(8), 11113-11153.

  • Abbasi A.A., & Younis M. (2007) A survey on clustering algorithms for wireless sensor networks. Computer Communications, 30(14-15), 2826-2841.

  • Akkaya K., & Younis M. (2005) A survey on routing protocols for wireless sensor networks. Ad Hoc Networks, 3(3), 325-349.

  • Rajagopalan R., & Varshney P.K. (2006) Data-aggregation techniques in sensor networks: A survey. IEEE Communications Surveys & Tutorials, 8(4), 48–63.

  • Yue J., Zhang W., Xiao W., Tang D., & Tang J. (2012) Energy efficient and balanced cluster-based data aggregation algorithm for wireless sensor networks. Procedia Engineering, 29, 2009–2015.

  • Ozdemir S., & Xiao Y. (2009) Secure data aggregation in wireless sensor networks: A comprehensive overview. Computer Networks, 53(12), 2022–2037.

  • Li C., Zhang H., Hao B., & Li J. (2011) A survey on routing protocols for large-scale wireless sensor networks. Sensors, 11(4), 3498-3526.

  • Lee S.H., Lee S., Song H., & Lee H.S. (2011) Gradual cluster head election for high network connectivity in large-scale sensor networks. In 13th International Conference on Advanced Communication Technology (ICACT2011) (pp. 168-172). IEEE.

  • Chitnis L., Dobra A., & Ranka S. (2009) Fault tolerant aggregation in heterogeneous sensor networks. Journal of Parallel and Distributed Computing, 69(2), 210-219.

  • Freris N.M., Kowshik H., & Kumar P.R. (2010) Fundamentals of large sensor networks: Connectivity, capacity, clocks, and computation. Proceedings of the IEEE, 98(11), 1828-1846.

  • Li J., & Mohapatra P. (2007) Analytical modeling and mitigation techniques for the energy hole problem in sensor networks. Pervasive and Mobile Computing, 3(3), 233-254.

  • Tran-Quang V., & Miyoshi T. (2010) A transmission range adjustment algorithm to avoid energy holes in wireless sensor networks. In Proc. of 2010 8th Asia-Pacific Symposium on Information and Telecommunication Technologies, Kuching, Malaysia, 15–18 June 2010; pp. 15–18.

  • Liu X. (2016) A novel transmission range adjustment strategy for energy hole avoiding in wireless sensor networks. Journal of Network and Computer Applications, 67, 43-52.

  • Ishmanov F., Malik A.S., & Kim S.W. (2011) Energy consumption balancing (ECB) issues and mechanisms in wireless sensor networks (WSNs): A comprehensive overview. European Transactions on Telecommunications, 22(4), 151-167.

  • Liu A. F., Zhang P. H., & Chen Z.G. (2011) Theoretical analysis of the lifetime and energy hole in cluster based wireless sensor networks. Journal of Parallel and Distributed Computing, 71(10), 1327-1355.

  • Chen G., Li C., Ye M., & Wu J. (2009) An unequal cluster-based routing protocol in wireless sensor networks. Wireless Networks, 15(2), 193-207.


Abstract Views: 284

PDF Views: 0




  • Rethinking Cluster-Based Routing in Wireless Sensor Networks

Abstract Views: 284  |  PDF Views: 0

Authors

Dimitris Kanellopoulos
Department of Mathematics, University of Patras, Patras, Greece

Abstract


A wireless sensor network (WSN) can be employed in many application areas such as traffic control and industrial automation. In WSNs, clustering achieves energy efficiency and scalable performance. A cluster is formed by several sensors nodes, and one of them is elected as cluster-head (CH). A CH collects information from the cluster members and sends aggregated sensed data to the base station (BS) or another CH. The main task of a routing protocol in a WSN is to forward these sensed data to the BS. This paper analyses the advantages of cluster-based routing protocols vs. flat routing protocols in WSNs.

Keywords


Clustering, Cluster-Based Routing Algorithms, Energy Efficiency, Routing Protocols, Wireless Sensor Networks.

References





DOI: https://doi.org/10.13005/ojcst12.01.02