Abstract
The paper formulates the cluster based (Hybrid Energy Efficient Distribution) HEED routing strategy for cognitive radio sensor networks (CRSN) using the principles of spectrum sensing. The theory of spectrum sensing enables the secondary users to effectively use the vacant channels and ensure a sense of protection for the primary users. Though heterogeneous co-operative spectrum sensing periodically increases the throughput of the network, still it necessitates measures for improving the other performance indices. The focus relates to reducing the spectrum sensing duration with a view of maximizing the time for data transmission. The attempts reiterate to extract an efficient solution through hybrid sequential and parallel channel sensing (CS) technique for routing the information. The efforts bring out the benefits in terms of the parameters that include throughput, energy, packet loss, delay and overhead through a comparative study with CS- LEACH and CS-AODV routing schemes. The results obtained in the NS2 platform allow it to claim a place for the use of CS-HEED in real world applications.
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References
Akan, O., Karli, O., Ergul, O.: Cognitive radio sensor networks. IEEE Netw. 23(4), 34–40 (2009)
Vijay, G., Ben, E., Bdira, A., Ibnkahla, M.: Cognition in wireless sensor networks: a perspective. IEEE Sens. J. 11(3), 582–592 (2011)
Ren, J., Zhang, Y., Zhang, N., Zhang, D., Shen, X.: Dynamic channel access to improve energy efficiency in cognitive radio sensor networks. IEEE Trans. Wirel. Commun. 15(5), 3143–3156 (2016)
Kim, H., Shin, K.G.: Efficient discovery of spectrum opportunities with MAC layer sensing in cognitive radio networks. In: IEEE Transactions on Mobile Communication Conference, vol. 7, no. 5, pp. 533–545, May 2008
Cabric, D., Tkachenko, A., Roderson, R.W.B.: Spectrum sensing measurements of pilot, energy and collaborative detection. In: Proceedings of IEEE Mobile Communication Conference, pp. 2342–2348, October 2006
Sun, C., Zhang, W., Letaief, K.B.: Cluster based cooperative spectrum sensing in cognitive radio systems. In: Proceedings of ICC 2007, pp. 2511–2515. IEEE Communication Society, July 2007
Liu, Q., Wang, X., Cui, Y.: Robust and adaptive scheduling of sequential periodic sensing for cognitive radios. IEEE Trans. Sel. Areas Commun. 32(3), 503–515 (2014)
Yilmaz, Y., Guo, Z., Wang, X.: Sequential joint spectrum sensing and channel estimation for dynamic spectrum access. IEEE Trans. Sel. Areas Commun. 32(11), 2000–2012 (2014)
Gao, H.Y., Ejaz, W., Jao, M.: Co-operative wireless energy harvesting and spectrum sharing in 5G networks. IEEE Access 4, 2790–2796 (2016)
Jing, C., Sheng, W.J., Wenchao, Y.: Spectrum allocation strategy for heterogeneous wireless service based on bidding game. KSII Trans. Internet Inf. Syst. 11(3), 1336–1356 (2017)
Zhang, T., Wu, Y., Lang, K., Tsang, D.H.K.: Optimal scheduling of co-operative spectrum sensing in cognitive radio networks. IEEE Syst. J. 4(4), 535–549 (2010)
Eryigit, S., Bayhan, S., Tugcu, T.: Energy efficient multi channel co-operative sensing scheduling with heterogeneous channel conditions for cognitive radio networks. IEEE Trans. Veh. Technol. 62(6), 2690–2699 (2013)
Khalid, L., Anpalagan, A.: Adaptive assignment of heterogeneous users for group based co-operative spectrum sensing. IEEE Trans. Wirel. Commun. 15(1), 232–246 (2016)
Michelusi, N., Mitra, U.: Cross-layer estimation and control for cognitive radio : exploiting sparse network dynamics. IEEE Trans. Cogn. Commun. Netw. 1(1), 128–145 (2015)
Zame, W., Xu, J., Van Der Schaar, M.: Co-operative multi-agent learning and co-ordination for cognitive radio networks. IEEE J. Sel. Areas Commun. 32(3), 464–477 (2014)
Abdulkadir, C., Aisharoa, A., Kamal, A.E.: Hybrid energy harvesting based co-operative spectrum sensing and access in heterogeneous cognitive radio networks. IEEE Trans. Cogn. Commun. Netw. 3(1), 37–48 (2017)
Ceik, A., Kamal, A.E.: Green co-operative spectrum sensing and scheduling in heterogeneous cognitive radio networks. IEEE Trans. Cogn. Commun. Netw. 2(3), 238–248 (2016)
Zhang, T., Tsang, D.H.K.: Co-operative sensing scheduling for energy efficient cognitive radio networks. IEEE Trans. Veh. Technol. 64(6), 2648–2662 (2015)
Liu, X., Evans, B.G., Moessner, K.: Energy efficient sensor scheduling algorithm in cognitive radio network employing heterogeneous sensor. IEEE Trans. Veh. Technol. 64(3), 1243–1249 (2015)
Jindal, A., Psounis, K.: On the efficiency of CSMA-CA scheduling in wireless multi-hop networks. IEEE/ACM Trans. Netw. 21(5), 1392–1406 (2013)
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The authors acknowledge with thanks the authorities of Annamalai University for providing the facilities to carry out this work.
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Janani, S., Ramaswamy, M., Samuel Manoharan, J. (2018). Spectrum Sensing Based Heed Routing Performance Enhancement Strategy for Cognitive Radio Sensor Networks. In: Venkataramani, G., Sankaranarayanan, K., Mukherjee, S., Arputharaj, K., Sankara Narayanan, S. (eds) Smart Secure Systems – IoT and Analytics Perspective. ICIIT 2017. Communications in Computer and Information Science, vol 808. Springer, Singapore. https://doi.org/10.1007/978-981-10-7635-0_6
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DOI: https://doi.org/10.1007/978-981-10-7635-0_6
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