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Energy-Efficient Data Reporting Strategy (EDRS) for Multilayer Clustering WSN


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DOI: https://doi.org/10.15866/irecos.v10i5.5771

Abstract


Energy consumption is one of the key issues in data reporting in wireless sensor networks (WSNs). Unbalanced energy consumption that characterized by many-to-one traffic pattern results in uneven energy dissipation among sensors which consequently reduces network lifetime significantly. In event tracking and monitoring system with direct constant data reporting of the ongoing event, energy depletion of sensors in specific region in the network where the event takes place is unavoidable. However, energy depletion can be balanced if sensors are clustered into groups and sensed data are transmitted through multi-hop towards the Based Station (BS) over Cluster Heads (CHs) with different transmission ranges capabilities. CHs should have the knowledge that enables them to know how many packets should be transmitted either in multi-hop or directly in order to avoid the fast energy drain of sensors near the BS. The knowledge can be provided by the BS based on the region where CHs are located. In this paper, we propose an energy-efficient strategy for reporting the sensed data in multilayer clustered WSN. The proposed strategy maximizes network lifetime through balancing energy consumption by using dual transmission range for forwarding pre-defined number of data packets according to the network condition. Experimental simulations have been performed to validate the proposed strategy
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Keywords


Clustering; Event Tracking; Energy Efficiency; Routing Protocols; Wireless SensorNetworks (WSN)

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References


F. Akyildiz, W. Su,Y. Sankarasubramaniam and E. Cayirci, Wireless sensor networks: A survey, Computer Networks (Elsevier) Journal, Vol. 38 , No. 4 ,pp. 393 – 422, 2002.
http://dx.doi.org/10.1016/s1389-1286(01)00302-4

J. Heidemann, F. Silva, C. Intanagonwiwat, R. Govindan, D. Estrin, and D. Ganesan, Building efficient wireless sensor networks with low-level naming, in Proceedings of the Symposium on Operating Systems Principles(SOSP), pp.146-159, 2001.
http://dx.doi.org/10.1145/502034.502049

Vidhyapriya, R. &Vanathi, P.T., Energy Aware Routing for Wireless Sensor Networks, International Conference on Signal Processing, Communications and Networking (ICSCN), pp.545-550, 2007.
http://dx.doi.org/10.1109/icscn.2007.350661

Mili, F., Ghanekar, S., Meyer, J., Distributed algorithms for event tracking through self-assembly and self-organization, 53rd IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), pp.173-176, 2010.
http://dx.doi.org/10.1109/mwscas.2010.5548586

Kodali, Ravi Kishore, Experimental analysis of an event tracking energy-efficient WSN, International Conference onAdvances in Computing, Communications and Informatics (ICACCI), pp.1293-1298, 2013.
http://dx.doi.org/10.1109/icacci.2013.6637364

Kamal, S.; Varalakshmi, P., Energy efficient and congestion avoidance event tracking in wireless sensor networks, International Conference on Signal Processing, Communication, Computing and Networking Technologies (ICSCCN),pp.167-171, 2011.
http://dx.doi.org/10.1109/icsccn.2011.6024536

Khan, M.,Pandurangan, G., Kumar, V.S.A., Distributed Algorithms for Constructing Approximate Minimum Spanning Trees in Wireless Sensor Networks,IEEE Transactions on Parallel and Distributed Systems, Vol.20, No.1, pp.124-139, 2009.
http://dx.doi.org/10.1109/tpds.2008.57

Acimovic, J., Beferull-Lozano, B., Cristescu, R., Adaptive distributed algorithms for power-efficient data gathering in sensor networks,in Proceedings of International Conference on Wireless Networks, Communications and Mobile Computing, pp.946-951, 2005.
http://dx.doi.org/10.1109/wirles.2005.1549540

Taherkordi, A., Mohammadi, R.,Eliassen, F., A Communication-Efficient Distributed Clustering Algorithm for Sensor Networks, 22nd International Conference onAdvanced Information Networking and Applications (AINAW), pp.634-638, 2008.
http://dx.doi.org/10.1109/waina.2008.130

Miu-ling Lam, Yun-Hui Liu, Two distributed algorithms for heterogeneous sensor network deployment towards maximum coverage, in Proceedings of IEEE International Conference on Robotics and Automation (ICRA), pp. 3296-3301, 2008.
http://dx.doi.org/10.1109/robot.2008.4543713

Ren, Qianqian, Guo, Longjiang, Zhu, Jinghua, Ren, Meirui; Zhu, Junqing, Distributed aggregation algorithms for mobile sensor networks with group mobility model, Tsinghua Science and Technology , Vol.17, No.5, pp.512-520, 2012.
http://dx.doi.org/10.1109/tst.2012.6314528

Li, W.W., Several Characteristics of Active/Sleep Model in Wireless Sensor Networks, 4th IFIP International Conference on New Technologies, Mobility and Security (NTMS), pp.1-5, 2011.
http://dx.doi.org/10.1109/ntms.2011.5721073

R. Merz , J. Widmer , J. - Y. L. Boudec , and B. Radunovic , A joint PHY/MAC architecture for low - radiated power THUWB wireless ad - hoc networks, Wireless Communications and Mobile Computing Journal , Vol. 5 , No. 5 ,pp. 567 – 580 , 2005.
http://dx.doi.org/10.1002/wcm.313

Heinzelman, W., Chandrakasan, A.,Balakrishnan, H., Energy-efficient communication protocol for wireless microsensor networks, In Proceedings of the 33rd HawaiiInternational Conference on System Sciences (HICSS), pp.3005-3014, 2000.
http://dx.doi.org/10.1109/hicss.2000.926982

W. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, An Application-Specific Protocol Architecture for Wireless Microsensor Networks,IEEE Transactions on Wireless Communications, Vol. 1, No. 4, pp. 660-670, 2002.
http://dx.doi.org/10.1109/twc.2002.804190

Jan, H., Paul, A., Minhas, A.A., Ahmad, A., Jabbar, S., Kim, M.,Dependability and reliability analysis of intra cluster routing technique. Peer PeerNetw. Appl., doi: 10.1007/s12083-014-0311-1, pp.13, 2014.
http://dx.doi.org/10.1007/s12083-014-0311-1

Abbasi, A.A., Younis, M., A survey on clustering algorithms for wireless sensor networks. Computer Communications, Vol. 30, No. 14-15, pp. 2826–2841, 2007.
http://dx.doi.org/10.1016/j.comcom.2007.05.024

Weng, C.-E., Lai, T.-W. An Energy-Efficient Routing Algorithm Based on Relative Identification and Direction for Wireless Sensor Networks, Wireless Personal Communications , Vol.69, No.1,pp.253–268, 2013.
http://dx.doi.org/10.1007/s11277-012-0571-0

Jabbar, S., Minhas, A.A., Paul, A., Rho, S., MCDA: Multilayer Cluster Designing Algorithm for Network Lifetime Improvement of Homogenous Wireless Sensor Networks, The journal of Supercomputing, Vol.70, No.1, pp.104–132, 2014.
http://dx.doi.org/10.1007/s11227-014-1108-y

H.M. Ammari, and S.K. Das, Promoting Heterogeneity, Mobility, and Energy-Aware Voronoi Diagram in Wireless Sensor Networks, IEEE Transactions on Parallel and Distributed Systems, Vol. 19, No. 7, pp. 995–1008, 2008.
http://dx.doi.org/10.1109/tpds.2008.31

P. Leone, S.E. Nikoletseas, and J.D.P. Rolim, Stochastic Models and Adaptive Algorithms for Energy Balance in Sensor Networks, Theory Computing Systems, Vol. 47, No. 2, pp. 433-453, 2010.
http://dx.doi.org/10.1007/s00224-009-9193-7

A.K.M. Azad, JoarderKamruzzaman, Energy-Balanced Transmission Policies for Wireless Sensor Networks, IEEE Transactions on Mobile Computing, Vol.10, No. 7, pp. 927-940, July 2011.
http://dx.doi.org/10.1109/tmc.2010.238

Y. Chen, Q. Li, L. Fei, and Q. Gao, Mitigating energy holes in wireless sensor networks using cooperative communication, in Proccedings of the 23rd IEEE International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), pp. 857–862, 2012.
http://dx.doi.org/10.1109/pimrc.2012.6362904

Thanigaivelu, K., &Murugan, K., K-level based transmission range scheme to alleviate energy hole problem in WSN, in Proceedings of theSecond International Conference on Computational Science, Engineering and Information Technology, p.476-483, 2012.
http://dx.doi.org/10.1145/2393216.2393296

Nithya, V., Ramachandran, B., Vaishanavi Devi, G., Energy Efficient Tree Routing Protocol for Topology Controlled Wireless Sensor Networks, (2015) International Journal on Communications Antenna and Propagation (IRECAP), 5 (1), pp. 1-6.
http://dx.doi.org/10.15866/irecap.v5i1.4805

Bou-El-Harmel, A., Benbassou, A., Belkadid, J., Design of a Three-Dimensional Antenna UHF in the Form Cubic Intended for RFID, Wireless Sensor Networks (WSNs) and RFID Sensor Networks (RSNs) Applications, (2014) International Journal on Communications Antenna and Propagation (IRECAP), 4 (6), pp. 260-264.
http://dx.doi.org/10.15866/irecap.v4i6.4915

Kandasamy, R., Krishnan, S., Enhanced Energy Efficient Method for WSN to Prevent Far-Zone, (2014) International Journal on Communications Antenna and Propagation (IRECAP), 4 (4), pp. 137-142.
http://dx.doi.org/10.15866/irecap.v4i4.3034

Shankar, T., Shanmugavel, S., Karthikeyan, A., Hybrid Approach for Energy Optimization in Wireless Sensor Networks Using PSO, (2013) International Journal on Communications Antenna and Propagation (IRECAP), 3 (4), pp. 221-226.

Khedher, M., Liouane, H., Douik, A., XOR-Based Routing Protocol for Wireless Sensor Networks, (2015) International Journal on Communications Antenna and Propagation (IRECAP), 5 (2), pp. 70-77.
http://dx.doi.org/10.15866/irecap.v5i2.5103

Shankar, T., Shanmugavel, S., Karthikeyan, A., Modified Harmony Search Algorithm for Energy Optimization in WSN, (2013) International Journal on Communications Antenna and Propagation (IRECAP), 3 (4), pp. 214-220.


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