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| dc.contributor.author | Noor, Fateha | |
| dc.date.accessioned | 2020-10-14T17:35:16Z | |
| dc.date.available | 2020-10-14T17:35:16Z | |
| dc.date.issued | 2018-11-15 | |
| dc.identifier.citation | [1] Akyildiz, I.F.; Su, W.; Sankarasubramaniam, Y. Wireless sensor networks: A survey. Comp. Networks, 38, 393–423, 2002. [2] Yick, J.; Mukherjee, B.; Ghosal, D. Wireless sensor network survey. Comp. Networks, 52, 2292–2330, 2008. [3] Anna, H. Wireless Sensor Network Design. John Wiley & Sons Ltd.: Chichester, West Sussex, UK; p. 410, 2003. [4] Akyildiz, I.F.; Su, W.; Sankarasubramaniam, Y. and Cayirci, E. A survey on sensor networks. In IEEE Commun. Mag., pp. 102-114, pp. 393-422, 2003. [5] Cheng, X.; Du, D-Z.; Wang, L.; and Xu, B. B. Relay Sensor Placement in Wireless Sensor Networks. In IEEE Transactions on Computers, 2001. [6] Dasgupta, K.; Kukreja, M.; and Kalpaki, K. Topology-aware placement and role assignment for energy-efficient information gathering in sensor networks. In Proc. of Eighth IEEE International Symposium on Computer and Communication, pp. 341– 348, 2003. [7] Falck, E.; Floréen, P.; Kaski, P.; Kohonen, J.; and Orponen, P. Balanced data gathering in energy-constrained sensor networks. In Algorithmic Aspects of Wireless Sensor Networks: First International Workshop (ALGOSENSORS),volume 3121, pp. 59–70, 2004. [8] Coleri, S.; and Varaiya, P. Optimal Placement of Relay Nodes in Sensor Networks. In IEEE International Conference on Communications, 8, pp. 3473-3479, 2006. [9] Gupta, G.; and Younis, M. Load-balanced clustering of wireless sensor networks. In IEEE International Conference on Communications, 3, pp. 1848–1852, 2003. [10] Pan, J.; Hou, Y. T.; Cai, L.; Shi, Y.; and Shen, S. X. Topology Control for Wireless Sensor Networks. In Proc. of Ninth Annual International Conference on Mobile Computing and Networking, pages 286–299, 2003. [11] Hao, B.; Tang, J.; and Xue, G. Fault-tolerant relay node placement in wireless sensor networks: formulation and approximation. In Workshop on High Performance Switching and Routing (HPSR), pages 246–250, 2004. 55 [12] Barbarossa, S.; and Scutari, G. Distributed space-time coding for multi-hop networks. In Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 50–504, 2004. [13] Hou, Y. T. ; Shi, Y.; Sherali, H. D.; and Midkiff , S. F. On Energy Provisioning and Relay Node Placement for Wireless Sensor Networks. In IEEE Transactions on Wireless Communications, 4(5), 2579–2590, 2005. [14] Liu, H.; Wan, P.; and Jia, W. Fault-Tolerant Relay Node Placement in Wireless Sensor Networks. In IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications, 2007. [15] Vallimayil, A. ; Raghunath K.; Dhulipala, S. ; Chandrasekaran, R. M. Role of Relay Node in Wireless Sensor Network: A Survey. In 3rd International Conference on Electronics Computer Technology (ICECT), Volume: 5, 2011. [16] Cover, T.M.; and Gamal, A.E. Capacity theorems for the relay channels. In IEEE Trans.Inform. Theory, 25, pp.572-584, 1979. [17] Meulen, V.der. Three-terminal communication channels. Adv.Appl.prob., vol.3, pp.120-154, 1971. [18] Laneman J. N.; Wornell G. W. Energy-efficient antenna sharing and relaying for wireless networks. In Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), 1, 7–12, 2000. [19] Laneman J.N.; Tse D.N.C.; Wornell G.W. Cooperative diversity in wireless networks: efficient protocols and outage behavior. In IEEE Trans. Inform. Theory, 50(12), 3062–3080, 2004. [20] Paulraj A.; Nabar R.; and Gore D. Introduction to Space-Time Wireless Communications. In Cambridge Univ. Press, Cambridge, U.K., 2003. [21] Kramer, G.; Gastpar, M.; and Gupta, P. Cooperative Strategies and Capacity Theorems for Relay Networks. In IEEE Trans.Infrom.Theory, 51, pp.3037-3063, 2005. [22] Fa, R.; De Lamare, R.C. Multiple branch successive interference cancellation for MIMO spatial multiplexing system: Design, analysis and adaptive implementations. IET Commun., 5, 484–494, 2011. [23] Janani, M.; Hedayat, A.; Hunter, T.E.; and Nosratinia, A. Coded cooperation in wireless communications: space-time transmission and iterative decoding. In IEEE Trans.Sign.Processing, 52 (2), pp.362-371, 2004. 56 [24] Shi, L.; Fapojuwo, A.O. Energy Efficiency and Packet Error Rate in Wireless Sensor Networks with Cooperative Relay. In SENSORS, 2010 IEEE, pp. 1823 – 1826, 2010. [25] Hong, Y-W., Huang, W.-J., Chiu, F-H. and Kuo, C.-C.J., "Cooperative Communications in Resource-Constrained Wireless Networks," IEEE Signal Processing Magazine, 24, 47-57, 2007. [26] Wang, H.; Xia, X.G. Asynchronous cooperative communication systems: A survey on signal design. Sci. China Inf. Sci., 54, 1547–1561, 2011. [27] Juan Z.; Sartori, P.; and Wei, B. Performance analysis of layer 1 relays. In Proc. IEEE Int. Conf. Commun. Workshops, pp. 1–6, Jun. 2009. [28] Gesbert, D. Multi-cell MIMO Cooperative Networks: A New Look at Interference. IEEE JSAC, 28, pp. 1380–1408, 2010. [29] Waqar O.; Imran, M.A.; Dianati, M.; Tafazolli, R. Energy Consumption Analysis and Optimization of BER-Constrained Amplify-and Forward Relay Networks. In IEEE Transactions on Vehicular Technology, 63, pp. 1256-1269, 2014. [30] Pattepu, S.; Mukherjee, S.; Datta, A. Energy efficiency analysis of cooperative relaying with decode-and-forward and amplify-and-forward schemes for wireless sensor networks. In International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), pp 1-6, 2017. [31] Wang, C.; Cho, T.; Tsai, T. A Cooperative Multihop Transmission Scheme for Two-Way Amplify-and-Forward Relay Networks. In IEEE Transactions on Vehicular Technology, 66, pp. 8569-8574, 2017. [32] Héliot, F.; Tafazolli, R. Optimal Energy-Efficient Source and Relay Precoder Design for Cooperative MIMO-AF Systems. In IEEE Transactions on Signal Processing, v. 66, 3, pp. 573-588, 2018. [33] Nabar, R.U.; Bolcskei, H.; and Kneubiihler, F.W. Fading relay channels: Performance limits and space-time signal design. In IEEE J. Select. Areas Commun., 22, pp. 1099-1109, 2004. [34] Host-Madsen, A.; and Zhang, J. Capacity bounds and power allocation for wireless relay channels. In IEEE Trans. on Inform. Theory, 51, pp. 2020-2040, 2005. 57 [35] Marchenko, N.; Andre, T.; Brandner, G. ; Masood, W.; Bettstetter C. An experimental study of selective cooperative relaying in industrial wireless sensor networks. In IEEE Transactions on Industrial Informatics, 10, pp 1806-1816, 2014. [36] Scaglione, A.; Goeckel, D. L.; and Laneman, J. N. Cooperative Communications in Mobile Ad-Hoc Networks: Rethinking the Link Abstraction. In Distributed Antenna Systems: Open Architecture for Future Wireless Communications Chapter, 2007. [37] Valentin, S.; Lichte, H. S.; Warneke, D.; Biermann, T.; Funke, R.; Karl, H. Mobile cooperative WLANs - MAC and transceiver design prototyping and field measurements. In Proc. IEEE VTC – Fall, 2008. [38] P. Liu, Z. Tao, S. Narayanan, T. Korakis, and S. S. Panwar, "CoopMAC: A cooperative MAC for wireless LANs," IEEE J. Sel. Areas Commun., vol. 25, no. 2, pp. 340-354, Feb. 2007. [39] Brandner, G.; Schilcher, U.; Andre, T.; Bettstetter, C. Packet delivery performance of simple cooperative relaying in real-world car-to-car communications. In IEEE Wireless Communications Letters, 1, pp.237-240, 2012. [40] Guan, Z.; Ding L.; Melodia T.; Yuan D. On the Effect of Cooperative Relaying on the Performance of Video Streaming. In IEEE International Conference on Communications (ICC), pp. 1-6, 2011. [41] Roy, A.; Pattepu, S.; Datta, A. Energy detection analysis of hybrid cooperative relaying mode in cognitive radio network. In International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2017. [42] Dohler, M.; Lefranc, E.; and Aghvami, H. Space-time block codes for Virtual antenna arrays. In PIMRC, Lisbon, Portugal, September 2003. [43] Cui, S.; Goldsmith, A.J.; Bahai, A. Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks. IEEE J. Sel. Areas Commun., 22, 1089–1098, 2004. [44] Jayaweera, S.K. Virtual MIMO-based cooperative communication for energy-constrained wireless sensor networks. IEEE Trans. Wirel. Commun., 5, 984-989, 2006. [45] Alamouti, S.M. A simple transmit diversity technique for wireless communications. IEEE J. Sel. Areas Commun., 16, 1451–1458, 1998. 58 [46] Cui, S.; Goldsmith, A.J.; Bahai, A. Energy-constrained modulation optimization. In IEEE Trans. Wireless Commun. , 4, pp. 2349–2360, 2005. [47] Cui, S.; Goldsmith, A.J.; Bahai, A. Modulation optimization under energy constraints. In Proc. ICC’03, AK, pp. 2805–2811, May 2003. [48] Gai, Y.; Zhang, L.; Shan, X. Energy Efficiency of cooperative MIMO with data aggregation in wireless sensor networks. In Proceedigns of IEEE Wireless Communications & Networking Conference (WCNC), Hong Kong, China, 14 March 2007. [49] Coso A. D. ; Savazzi S.; Spagnolini, U.; Ibars, C. Virtual MIMO Channels in Cooperative Multi-hop Wireless Sensor Networks. In 40th Annual Conference on Information Sciences and Systems, 75-80, 2006. [50] Nguyen, D. N.; Krunz, M. Cooperative MIMO in Wireless Networks: Recent Developments and Challenges. In IEEE Network, 2013. [51] Dziri, A.; Ammar, A.; Terre, M. Performance analysis of MIMO cooperative relays for wireless sensor networks. In 13th International Wireless Communications and Mobile Computing Conference (IWCMC), 2017. [52] Grira, L.; Bouallegue, R. Energy Efficiency of Cooperative MIMO in Wireless Sensor Networks over Rayleigh Fading Channel. In IEEE 31st International Conference on Advanced Information Networking and Applications (AINA), 2017. [53] Islam, M. R. ; Kim, J. Energy efficient cooperative MIMO in wireless sensor network. In International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 2008. [54] Jakllari, G. A Cross-Layer Framework for Exploiting Virtual MISO Links in Mobile Ad Hoc Networks. In IEEE Trans. Mobile Computing, vol. 6, pp. 579–94, 2007. [55] Gollakota,S.; Perli,S. D.; and Katabi, D. Interference Alignment and Cancellation. Proc. ACM SIGCOMM Conf. Data Commun., pp.159–70, Aug. 2009. [56] Hua, S. Exploiting MIMO Antennas in Cooperative Cognitive Radio Networks. Proc. IEEE INFOCOM, pp. 2714–23, Apr. 2011. [57] Zhao, Y.; R. Adve, and Lim, T. Improving amplify-and-forward relay networks: Optimal power allocation versus selection. In Proc. IEEE Int. Symp. Information Theory (ISIT), pp. 1234-1238, 2006. 59 [58] Islam, M.R.; Anh, H.T.; Kim, J. Energy efficient cooperative technique for IEEE 1451 based Wireless Sensor Network. In Proceedings of IEEE Wireless Communications and Networking Conference (WCNC), Las Vegas, NV, USA, 31 March 2008. [59] Islam, M.R.; Han, Y.S. Cooperative MIMO Communication at Wireless Sensor Network: An Error Correcting Code Approach. In Sensors, 11, pp. 9887-9903, 2011. [60] Chu, S. ; Wang, X. ; Yang, Y. Exploiting Cooperative Relay for High Performance Communications in MIMO Ad Hoc Networks. In IEEE Transactions on Computers , 62, 716-729, 2013. [61] Ribeiro,A.; Cai, X.; and Giannakis, G. Symbol error probabilities for general cooperative links. In IEEE Trans. Wireless Commun., 4, pp. 1264–1273, 2005. [62] Hasna, M.; and Alouini, M.S. Outage probability of multi-hop transmission over Nakagami fading channels,” In IEEE Commun. Lett., vol. 7, no. 5, pp. 216–218, May 2003. [63] Chen,Y.; Zhang, S.; and Xu, S. Characterizing energy efficiency and deployment efficiency relations for green architecture design. In Proc. IEEE Int. Conf. Commun. Workshops, pp. 1–5, May 2010. [64] Rappaport, T.S. Wireless Communications Principles and Practices. In 2nd ed.; Prentice Hall: Upper Saddle River, NJ, USA, 2003. [65] Kashani, Z.H.; Shiva, M. Power optimised channel coding in wireless sensor networks using low-density parity-check codes. IET Commun., 1, 1256-1263, 2007. [66] Auer,G.; Giannini, V.; Desset, C.; Godor, I.; Skillermark, P.; Olsson, M.; Imran, M.; Sabella, D.; Gonzalez, M.; Blume, O.; and Fehske, A. How much energy is needed to run a wireless network?” IEEE Wireless Commun., 18, pp. 40–49, 2011. [67] Meng, Y.; Gong, W.; Kastner, R.; and Sherwood, T. Algorithm/Architecture Co exploration for Designing Energy Efficient Wireless Channel Estimator. In Journal of Low Power Electronics, 1, pp.1-11, 2005. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/525 | |
| dc.description | Supervised by Prof. Dr. Mohammad Rakibul Islam | en_US |
| dc.description.abstract | An efficient design of a Wireless Sensor Network (WSN) has recently drawn increasing attention from research community. In a WSN sensors are often powered by non-rechargeable and non-replaceable batteries. Hence, it is essential to apply energy-efficient techniques to improve the lifetime of this network. Cooperative communication is such a proven method that uses spatial diversity to achieve significant gain and eventually increases network lifetime prominently. This thesis work has explored the benefits of two existing cooperative communication protocols- Cooperative Relaying and Cooperative Multiple-Input-Multiple-Output (C-MIMO). Cooperative Relaying is an effective method for WSN which reduces total energy consumption by exploiting the spatial diversity made available through cooperating nodes that relay signals for each other. Cooperative MIMO is another major breakthrough in the field of WSN. C-MIMO is a special type of MIMO technique where multi-antenna structure of MIMO is formed via cooperation in a network of single antenna nodes. Selective approach of C-MIMO is considered in this work. At first a network with cooperative Amplify-and-Forward (AF) relay terminal is designed and its total energy consumption equation is developed. It is shown that this network performs better in energy consumption than the traditional relay networks and the optimum relay location is also determined. Then the dual hop network is advanced into a multi-hop scenario. It is seen that with increasing hop numbers while traditional relay network consumes less energy, cooperative relay with single antenna based source and destination incurs more energy. To solve this problem a combination of these two approaches is proposed, i.e. selective cooperative MIMO network with cooperative AF relay. An experimental framework is developed for the total energy consumption of our proposed network. Both dual-hop and multi-hop network are considered while satisfying an average bit error rate (BER) requirement at the destination over Rayleigh fading channels. Energy and delay characteristics of proposed network model are observed via simulations. Simulation results show that our proposed model outperforms selective C-MIMO by 17%, traditional C-MIMO by 24% and SISO model by 48% in total energy consumption per bit after certain distance (~400m). The impacts of transmission distance between source and destination, relay number and relay position on total energy consumption per bit are evaluated and discussed. Delay difference (DD) is also calculated between SISO and proposed model and positive DD is observed after 68m which indicates proposed model’s delay efficiency over SISO model. Finally it is observed that for larger scale WSNs (>600m) selective C-MIMO with equispaced multi-hop (hop=4) cooperative AF relay performs more efficiently than three-hop (~9.4%) or dual-hop (~35%) C-MIMO networks. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Department of Electrical and Electronic Engineering, Islamic University of Technology, Board Bazar, Gazipur, Bangladesh | en_US |
| dc.title | Energy Efficiency and Delay Performance Analysis of Cooperative MIMO with Cooperative AF Relay in Wireless Sensor Network | en_US |
| dc.type | Thesis | en_US |
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