Transmission Power Control in Wireless Sensor Networks under the Minimum Connected Average Node Degree Constraint

[1]M. Younis, I.F. Senturk, K. Akkaya, S. Lee and F. Senel, “Topology management techniques for tolerating node failures in wireless sensor networks: a survey”, Computer Networks, vol. 58, pp. 254-283, January 2014.10.1016/j.comnet.2013.08.021 Search in Google Scholar

[2]K. Han, J. Luo, Y. Liu and A.V. Vasilakos, “Algorithm design for data communications in duty-cycled wireless sensor networks: a survey”, IEEE Communications Magazine, vol. 51, no. 7, pp. 107-113, July 2013.10.1109/MCOM.2013.6553686 Search in Google Scholar

[3]J. Espina, T. Falck, A. Panousopoulou, et al, “Network topologies, communication protocols, and standards”, Body Sensor Networks, pp. 189-236. March 2014.10.1007/978-1-4471-6374-9_5 Search in Google Scholar

[4]Y. Xiao, M. Peng, J. Gibson, et al, “Tight performance bounds of multihop fair access for MAC protocols in wireless sensor networks and underwater sensor networks”, IEEE Transactions on Mobile Computing, vol. 11, no. 10, pp. 1538-1554, September 2012. Search in Google Scholar

[5]K.S. Yildirim and A. Kantarci, “External gradient time synchronization in wireless sensor networks”, IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 3, pp. 633641, February 2014. Search in Google Scholar

[6]Lecture Notes in Electrical Engineering, Advances in Wireless Sensors and Sensors Networks, ISSN 1876-1100, ISBN 978-3-642-12706-9 Springer-Verlag, by S. C. Mukhopadhyay and Henry Leung, July 2010. Search in Google Scholar

[7]A. Hadjidj, M. Souil, A. Bouabdallah, Y. Challal and H. Owen, “Wireless sensor networks for rehabilitation applications: challenges and opportunities”, Journal of Network and Computer Applications, vol. 36, no. 1, pp. 1-15, January 2013.10.1016/j.jnca.2012.10.002 Search in Google Scholar

[8]M. Li, Z. Li and A. V. Vasilakos, “A survey on topology control in wireless sensor networks: taxonomy, comparative study, and open issues”, Proceedings of the IEEE, vol. 101, no. 12, pp. 2538-2557, July 2013. Search in Google Scholar

[9]A. A. Aziz, Y. A. Sekercioglu, P. Fitzpatrick and M. Ivanovich, “A survey on distributed topology control techniques for extending the lifetime of battery powered wireless sensor networks”, IEEE Communications Surveys & Tutorials, vol. 15, no. 1, pp. 121-144, April 2013.10.1109/SURV.2012.031612.00124 Search in Google Scholar

[10]C. Zhu, C. Zheng, L. Shu and G.J. Han, “A survey on coverage and connectivity issues in wireless sensor networks”, Journal of Network and Computer Applications, vol. 35, no. 2, pp. 619-632, March 2012.10.1016/j.jnca.2011.11.016 Search in Google Scholar

[11]N. S. Ewa, “Energy aware communication protocols for wireless sensor networks”, Transactions on Computational Collective Intelligence X, Lecture Notes in Computer Science, vol. 7776, pp. 135-149, 2013. Search in Google Scholar

[12]H. Byun and J. Yu, “Adaptive duty cycle control with queue management in wireless sensor networks”, IEEE Transactions on Mobile Computing, vol. 12, no. 6, pp. 1214-1224. April 2013.10.1109/TMC.2012.102 Search in Google Scholar

[13]Halit Üster, H. Lin, “Integrated topology control and routing in wireless sensor networks for prolonged network lifetime”, Ad Hoc Networks, vol. 9, no. 5, pp. 835-851, July 2011.10.1016/j.adhoc.2010.09.010 Search in Google Scholar

[14]L. Karim, N. Nasser and T. Sheltami, “A fault-tolerant energy-efficient clustering protocol of a wireless sensor network”, Wireless Communications and Mobile Computing, vol. 14, no. 2, pp. 175-185, February 2014.10.1002/wcm.1240 Search in Google Scholar

[15]S. Narayanaswamy, V. Kawadia, R. S. Sreenivas and P.R. Kumar, “Power control in ad- hoc networks: theory, architecture, algorithm and implementation of the COMPOW protocol”, Proceedings of the European Wireless Conference, Florence, pp. 156-162, 2002. Search in Google Scholar

[16]A. Kinalis, S. Nikoletseas, D. Patroumpa and J. Rolim, “Biased sink mobility with adaptive stop times for low latency data collection in sensor networks”, Information Fusion, vol. 15, pp. 56-63, January 2014.10.1016/j.inffus.2012.04.003 Search in Google Scholar

[17]A. Gaddam, S.C. Mukhopadhyay, G. Sen Gupta, “Wireless Sensors networks Based Monitoring: Review, Challenges and Implementation Issues”, Proceedings of the 3rd International Conference on Sensing Technology, November 30 to December 3, 2008, by S.C.Mukhopadhyay, G. Sen Gupta and Ray Y.M. Huang, ISBN 978-1-4244-2177-0, IEEE Catalog Number CFP0818E-CDR, Library of Congress 200891166, pp. 533-538. Search in Google Scholar

[18]N. Khan, Z. Khalid and G. Ahmed, “Gradient cost establishment (grace) for an energy- aware routing in wireless sensor networks”, EURASIP Journal on Wireless Communications and Networking, November 2009.10.1155/2009/275694 Search in Google Scholar

[19]C. Sergiou, V. Vassiliou and A. Paphitis, “Hierarchical tree alternative path (HTAP) algorithm for congestion control in wireless sensor networks”, Ad Hoc Networks, vol. 11, no. 1, pp. 257-272, January 2013.10.1016/j.adhoc.2012.05.010 Search in Google Scholar

[20]C. Petrioli, M. Nati, P. Casari, et al, “ALBA-R: Load-balancing geographic routing around connectivity holes in wireless sensor networks”, IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 3, pp. 529-539, March 2014.10.1109/TPDS.2013.60 Search in Google Scholar

[21]C. Ranhotigamage and S. C. Mukhopadhyay, “Field Trials and Performance Monitoring of Distributed Solar Panels Using a Low Cost Wireless Sensors Network for Domestic Applications”, IEEE Sensors Journal, Vol. 11, No. 10, October 2011, pp. 2583-2590.10.1109/JSEN.2011.2150214 Search in Google Scholar

[22]A. Varshney, T. Voigt and L. Mottola, “Using directional transmissions and receptions to reduce contention in wireless sensor networks”, Real-World Wireless Sensor Networks, Lecture Notes in Electrical Engineering, vol. 281, pp. 205-213, 2014.10.1007/978-3-319-03071-5_21 Search in Google Scholar

[23]A. Bhattacharya and A. Kumar, “A shortest path tree based algorithm for relay placement in a wireless sensor network and its performance analysis”, Computer Networks, vol. 71, pp. 48-62, October 2014.10.1016/j.comnet.2014.06.011 Search in Google Scholar

[24]T. M. Chiwewe and G. P. Hancke, “A distributed topology control technique for low interference and energy efficiency in wireless sensor networks”, IEEE Transactions on Industrial Informatics, vol. 8, no. 1, pp. 11-19, September 2012.10.1109/TII.2011.2166778 Search in Google Scholar

[25]N. Li, J. C. Hou and L. Sha, “Design and analysis of an MST-based topology control algorithm”, IEEE Transactions on Wireless Communications, vol. 4, no. 3, pp. 1195-1206, May 2005. Search in Google Scholar

[26]M. Kubisch, H. Karl, A. Wolisz, et al, “Distributed algorithms for transmission power control in wireless sensor networks”, Proceedings of the IEEE Wireless Communications and Networking Conference, vol. 1, pp. 558-563, March 2003. Search in Google Scholar

[27]Chia-Pang Chen, S.C. Mukhopadhyay, Cheng-Long Chuang, Maw-Yang Liu, and Joe- Air Jiang, “Efficient Coverage and Connectivity Preservation with Load Balance for Wireless Sensor Networks”, IEEE Sensors Journal, Vol. 15, No. 1, January 2015, pp. 48-62, DOI 10.1109/JSEN.2014.2336257.10.1109/JSEN.2014.2336257 Search in Google Scholar

[28]J. Zhang, J. Chen and Y. Sun, “Transmission power adjustment of wireless sensor networks using fuzzy control algorithm”, Wireless Communications and Mobile Computing, vol. 9, no. 6, pp. 805-818, June 2009.10.1002/wcm.630 Search in Google Scholar

[29]H. Zhang and J. C. Hou, “Maintaining sensing coverage and connectivity in large sensor networks”, Ad Hoc & Sensor Wireless Networks, vol. 1, pp. 89–124, 2005.10.1201/9780203323687.ch28Search in Google Scholar