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dc.contributor.author | Hossain, Md. Wahid | |
dc.contributor.author | Rahim, Md. Abdul Ohab | |
dc.contributor.author | Ahmed, Rifat | |
dc.date.accessioned | 2021-10-01T08:58:24Z | |
dc.date.available | 2021-10-01T08:58:24Z | |
dc.date.issued | 2014-11-15 | |
dc.identifier.citation | [1] W. Ye, J. Heidemann, and D. Estrin. “ An energy-efficient mac protocol for wireless sensor networks ” . In Proceeding of the IEEE INFOCOM,02, 2002, pp. 1567- 1576. [2] J. Haapola, Z. Shelby, C. Pomalaza-Raez, P. Mahonen. “ Cross-layer energy analysis of multi-hop wireless sensor network” . In EWSN’ 05, 2005, pp. 33-44. [3] R. Wattenhofer, L. Li, P. Bahl and Y.-M.Wang.“ Distributed topology control for power efficient operation in multihopwireless ad hoc networks ” . In Proceeding of the IEEE INFOCOM’01, 2001,pp. 1388- 1397. [4] R. Ramanathan and R. Hain.“ Topology control of multihop wireless networks using transmit power adjustmeng” . In Proceeding of the IEEE INFOCOM’00, 2000, pp. 404-413. [5] M. C. Vuran, and I. F. AKyildiz. “ Spatialcorrelationbased collaboration medium access control in wireless sensor network ” . In IEEE/ACM Transaction on Networking,vol. 14, NO.2 June 2006. [6] W. Ye, F. Silva, and J. Heidemann. “ Ultra-low duty cycle mac with scheduled channel polling” . In SenSys’06, 2006. 27. [7] J. Aslam, Q. Li and D. Rus. “ Three power-aware routing algorithms for sensor networks ” . Wireless Communication and Moblie Computing, vol. 2, no. 3, pp. 187-208, Mar. 2003 [8] J. –H. Chang and L. Trassiulas. “ Energy conserving routing in wireless ad-hoc networks” . In Proceeding of the IEEE INFOCOM’00, 2000, pp. 22-31. [9] G.Xing, C. Lu, Y. Zhang, Q. Huang, and R. Pless. “ Minimun power configration in wireless sensor networks” . In Proceeding of the 6th ACM international symposium on Mobile ad hoc networking and computing (MobiHoc), 2005. 67 [10] XBOW MICAz Mote Spefications. http://www.xbow.com. [11] P. Levis, N.Lee, M. Welsh, and D. Culler. TOSSIM: a simulator for TinyOS Network.http://www.tinyos.net/tinyos-1.x/doc/nido.pdf [12] Shan Lin, Jingbin Zhang, Gang Zhou, Lin Gu, Tian He, and John A.Stankovic. Atpc:adaptive transmission power control for Wireless Sensor Networks. In SenSys’06,2006 [13] P. Skraba, H. Aghajan, A. Bahai.Cross-layer optimization for high density sensor networks: Distributed passive routing Decision. In Proc. Ad-hoc Now’04, July 2004. [14] M. Zorzi, R. Rao. Geographic random forwarding (GeRaF) for ad hoc and sensor networks: multihop performance. IEEE Trans. Mobile Computing, Vol. 2, no. 4, pp. 337-348. [15] M. Zorzi, R. Rao. Geographic random forwarding (GeRaF) for ad hoc and sensor networks: energy and latency performance. IEEE Trans. Mobile Computing, Vol. 2, no. 4, pp. 337-348. [16] M. Zorzi. A new contention-based MAC protocol for geographic forwarding in ad hoc and sensor networks. In Proc. IEEE International Conference on Communications, vol. 6, pp. 3481-3485. [17] D. Ferrara, et.al. MACRO: An integrate MAC/Routing protocol for geographical forwarding in wireless sensor networks. In Proc. IEEE INFOCOM’ 05, 2005. [18] R. Madan, S, Cui, S. Lall, A. Goldsmith. Cross-layer design for lifetime maximization in interference-limited wireless sensor networks. In Proc. IEEE INFOCOM’05, 2005 [19] S. Cui, R. Madan, A. Goldsmith, S. Lall. Joint routing, MAC, and link layer optimization in sensor networks with energy constraints. In Proc. IEEE ICC’ 05, 2005. [20] L. van Hoesel, T, Nieberg, J. Wu and P.J.M.Havinga.Prolong the lifetime of wireless sensor networks by crosslayer interaction. IEEE Wireless Communications, vol. 11 no.6, pp. 7 68 [21] P. Popovski, H. Yomo,“Bi-directional Amplification of Throughput in a Wireless Multi-Hop Network,” IEEE Vehicular Technology Conference 2006, pp. 588 - 593. [22] F. Gao, R. Zhang, Y.-C. Liang, “Optimal Channel Estimation and Training Design for Two-Way Relay Networks”, IEEE Trans. Communiction, Vol.57, No. 10, 2009 [23] D. Tse, P. Viswanath, Fundamentals of Wireless Communication, Cambridge University Press, 2005. [24] W. Choi, D. I. Kim, B-H. Kim, “Adaptive multi-node incremental relaying for hybrid ARQ in AF relay networks”, IEEE Trans. on Wireless Communication, Vol. 9, No. 2, Feb. 2010. [25] P. Wu, N. Jindal, “Coding versus ARQ in fading channels: How reliable should the PHY be?”,Globecom 2009. [26] R. Aggarwal, P. Schniter, and C. Koksal,“Rate adaptation via linklayerfeedback for goodput maximization over a time-varying channel,” IEEE Trans. Wireless Commun., Vol.8, No.8, 2008. [27] Q. Chen, M. C. Gursoy, “Energy Efficiency Analysis in Amplifyand-Forward and Decode-and-Forward Cooperative Networks”, IEEE WCNC, Apr. 2010 [28] V. Erceg, L. J. Greenstein, S. Y. Tjandra, S. R. Parkoff, A. Gupta, B. Kulic, A. A. Julius, and R. Bianchi, “An emperically based path loss model for wireless channels in suburban environments,” IEEE J.Select.Areas Commun, Vol. 17, No. 7, pp.1205-1211, Jul. 1999. | en_US |
dc.identifier.uri | http://hdl.handle.net/123456789/1065 | |
dc.description | Supervised by Prof. Dr. Md. Rakibul Islam, Department of Electrical and Electronic Engineering (EEE), Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh. | en_US |
dc.description.abstract | Survivability is one of the critical issues and the most important research topics in the fields of wireless sensor networks (WSNs). Energy efficiency is one of the determining factors for survivability and lifetime of WSNs. In the WSNs, severe energy issue necessitates energy-efficient approach to fulfill application objectives.In this paper, we studied an Energy Optimization Approach based on Cross-Layer for Wireless Sensor Networks named as EOA, which consider the joint optimal design of the physical, medium access control (MAC), and routing layer. The focus of EOA is on the computation of optimal transmission power, routing, and duty-cycle schedule that optimize the WSNs energy-efficiency. Further we did the goodput analysis in Two-Way Wireless Relay network where two source nodes exchange their information via a relay node indirectly in Rayleigh fading channels. Both Amplify-and-Forward (AF) and Decode-and-Forward (DF) techniques have been analyzed in the TWRN employing a Markov chain model through which the network operation is described and investigated in depth. Automatic Repeat-reQuest (ARQ) retransmission has been applied to guarantee the successful packet delivery. The bit energy consumption and goodput expressions have been derived as functions of transmission rate in a given AF or DF TWRN. Numerical results are used to identify the optimal transmission rates where the bit energy consumption is minimized or the goodput is maximized. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Department of Electrical and Electronic Engineering, Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh | en_US |
dc.title | Performance Analysis of Energy Efficient Cross Layer Approach in WSN & Goodput Analysis in Two Way Relay Network | en_US |
dc.type | Thesis | en_US |