Energy-Adaptive Data Delivery in Energy-Harvesting Wireless Sensor Networks

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dc.contributor.author Khan, Ashraful Alam
dc.date.accessioned 2020-09-18T09:26:48Z
dc.date.available 2020-09-18T09:26:48Z
dc.date.issued 2015-11-15
dc.identifier.citation [1] Viani, F and Oliveri, G and Donelli, M and Lizzi, L and Rocca, P and Massa, A,\WSN-based solutions for security and surveillance ",IEEE Microwave Confer- ence (EuMC), 2010 European,Pages 1762{1765. [2] Rahman, Nabila and Wright, Matthew and Liu, Donggang,\Fast and energy- e cient technique for jammed region mapping in wireless sensor networks",in arXiv preprint arXiv:1401.7002,2010. [3] Magno, Michele and Boyle, David and Brunelli, Davide and O'Flynn, Brendan and Popovici, Emanuel and Benini, Luca, \Extended wireless monitoring through intelligent hybrid energy supply ", IEEE Transactions on Industrial Electronics , volume-61,no.4, pages 1871{1881,2014. [4] Knight, Chris and Davidson, Joshua and Behrens, Sam, \Energy options for wireless sensor nodes ",Sensors,volume-8,no.12,pages 8037{8066,2008. [5] Martinez, Gina and Li, Shufang and Zhou, Chi, \Wastage-Aware Routing in Energy-Harvesting Wireless Sensor Networks ", IEEE Sensors Journal, volume- 14,no.9,pages 2967-2974,2014. [6] Voigt, Thiemo and Ritter, Hartmut and Schiller, Jochen, \Utilizing solar power in wireless sensor networks ", Proceedings. 28th Annual IEEE International Confer- ence on Local Computer Networks, 2003. LCN'03.,Pages 487503,2003. [7] Kansal, Aman and Hsu, Jason and Zahedi, Sadaf and Srivastava, Mani B, \Power management in energy harvesting sensor networks", ACM Transactions on Embed- ded Computing Systems (TECS), vol.6, no.4, pages 32, 2007. [8] Zeng, Kai and Lou, Wenjing and Ren, Kui and Moran, Patrick J, \Energy-e cient geographic routing in environmentally powered wireless sensor networks "IEEE Military Communications Conference, 2006. MILCOM 2006., pages 1{7,2006 [9] Lin, Longbi and Shro , Ness B and Srikant, R , \Asymptotically optimal energy- aware routing for multihop wireless networks with renewable energy sources ", IEEE/ACM Transactions on Networking, volume-15,no.5,pages 1021-1034,2007. 45 Bibliography 46 [10] Lattanzi, Emanuele and Regini, Edoardo and Acquaviva, Andrea and Bogli- olo, Alessandro \Energetic sustainability of routing algorithms for energy- harvesting wireless sensor networks ", Elsevier,Computer Communications, volume- 30,no.14,pages 2976-2986,2007. [11] Jakobsen, Mikkel Koefoed and Madsen, Jan and Hansen, Michael R, \DEHAR: A distributed energy harvesting aware routing algorithm for ad-hoc multi-hop wireless sensor networks ", in IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks (WoWMoM), 2010,pp. 1{9. [12] Hasenfratz, David and Meier, Andreas and Moser, Clemens and Chen, Jian-Jia and Thiele, Lothar, \Analysis, comparison, and optimization of routing protocols for energy harvesting wireless sensor networks "In IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC), 2010, pp. 19{26. [13] Liu, Anfeng and Ren, Ju and Li, Xu and Chen, Zhigang and Shen, Xuemin Sher- man, \Design principles and improvement of cost function based energy aware rout- ing algorithms for wireless sensor networks ",Elsevier,Computer Networks,Volume- 56,no.7,pp. 1951{1967, 2012. [14] Peng, Shuai and Low, Chor Ping ,\Energy neutral routing for energy harvesting wireless sensor networks ", in IEEE Wireless Communications and Networking Conference (WCNC), 2013,pp. 2063-2067. [15] Cammarano, Alessandro and Petrioli, Chiara and Spenza, Dora,\Improving energy predictions in EH-WSNs with Pro-Energy-VLT ", Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems,pages 41,2013. [16] Sharma, Navin and Gummeson, Jeremy and Irwin, David and Shenoy, Prashant, \Cloudy computing: Leveraging weather forecasts in energy harvesting sensor sys- tems ", 7th Annual IEEE Communications Society Conference on Sensor Mesh and Ad Hoc Communications and Networks (SECON), pages 19,2010. [17] Martinez, Gina and Li, Shufang and Zhou, Chi, \Maximum Residual Energy Rout- ing in Wastage-Aware Energy Harvesting Wireless Sensor Networks ",IEEE 79th Vehicular Technology Conference (VTC Spring),2014 pages 1{5,2014. [18] Syafawati, AN and Salsabila, A and Farhana, Z and Arizadayana, Z and Razliana, N and Norjasmi, AR and Muzaidi, O and Akhmal, S, \Forecasting the potential of solar energy harvest in Kangar ",Power Engineering and Optimization Conference (PEOCO), 2013 IEEE 7th International pages 77{82,2013. [19] C. Moser, J. Chen, and L. Thiele, \Dynamic power management in environmentally powered systems ",in Proc. ASP-DAC, Jan. 2010 pages 81-88,2010. Bibliography 47 [20] J. R. Piorno, C. Bergonzini, D. Atienza, and T. S. Rosing, \Prediction and man- agement in energy harvested wireless sensor nodes ",in Proc. Wireless VITAE, May 2009 pages 6{10,2009. [21] N. Sharma, J. Gunmmeson, D. Irwin, and P. Shenoy, \Cloud computing: Leveraging weather forecasts in energy harvesting sensor systems ",in Proc. SECON, 2010 pages 19.,2010. en_US
dc.identifier.uri http://hdl.handle.net/123456789/341
dc.description Supervised by Prof. Dr. Muhammad Mahbub Alam en_US
dc.description.abstract Renewable energy like solar radiation can be employed for extending the lifespan of a wireless sensor network (WSN) node. Such systems have made it feasible to manage the energy constrain su ered by traditional Wireless Sensor Networks. Instead of only maximizing the network lifetime with a nite amount of energy as in battery-powered network, objective of EH-WSN networking protocols turns into assurance of perpetual network operation. Signi cant role of route selection strategy in assurance of perpet- ual network operation in EH-WSNs has inspired us to design a set of e cient routing metrics for EH-WSNs to meet desired objective. Assurance of both maximized network remaining energy and balanced energy depletion are two promising requisites to have perpetual network operation. Our proposed routing metric called Energy Depletion (ED) minimizes the wastage of energy in network with minimum overhead and maxi- mizes the total network remaining energy. Secondly, proposed metric named Fraction of Energy Depletion (FED) eliminates the unbalanced energy depletion problem from network . Finally our routing metric named Prioritized FED (PFED) achieves both bene ts proportionally by doing a perfect trade o between these two goals. en_US
dc.language.iso en en_US
dc.publisher Department of Computer Science and Engineering (CSE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh en_US
dc.title Energy-Adaptive Data Delivery in Energy-Harvesting Wireless Sensor Networks en_US
dc.type Thesis en_US


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