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Telecommunication Systems
Erschienen in: Telecommunication Systems 3/2016

01.07.2016

RDTP: reliable data transport protocol in wireless sensor networks

verfasst von: Ali Barati, Ali Movaghar, Masoud Sabaei

Erschienen in: Telecommunication Systems | Ausgabe 3/2016

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Abstract

The paper deals with a new reliable data transport protocol for wireless sensor networks, referred as RDTP. One of the most prominent challenges in wireless sensor networks is reliable transport of data from sensor nodes to sink node. For designing protocols for such networks hardware, some constraining factors associated with energy and processing power must be taken into consideration. There are two generic methods, ARQ and FEC to achieve reliable data transport. Here, a reliable data transport protocol for wireless sensor networks is proposed, in which an efficient moduli set in redundant residue number system has been employed. The modulus set is exploited as a means for adding redundancy to transmitted data. Error controlling in proposed method is performed in a hop by hop manner. The simulation results indicate that the proposed method shows significant decreases in the energy consumption, compared to similar methods. The results also show that this leads to a rise in packet delivery ratio, with a simultaneous reduction in end to end delay.
Vorheriger Artikel Unified symbol error probability analysis of multiuser diversity in TAS/OSTBC systems

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Literatur
1.
Mahmood, M. A., Seah, W. K., & Welch, I. (2015). Reliability in wireless sensor networks: A survey and challenges ahead. Computer Networks, 79, 166–187.CrossRef
2.
Fortino, G., Bal, M., Li, W., & Shen, W. (2015). Collaborative wireless sensor networks: Architectures, algorithms and applications. Information Fusion, 22, 1–2.CrossRef
3.
Hammoudeh, M., & Newman, R. (2015). Adaptive routing in wireless sensor networks: QoS optimisation for enhanced application performance. Information Fusion, 22, 3–15.CrossRef
4.
Mitra, S., & Roy, A. (2015). Communication void free routing protocol in wireless sensor network. Wireless Personal Communications, 82(4), 2567–2581.CrossRef
5.
Rault, T., Bouabdallah, A., & Challal, Y. (2014). Energy efficiency in wireless sensor networks: A top-down survey. Computer Networks, 67, 104–122.CrossRef
6.
Somasundara, A., Kansal, A., Jea, D. D., Estrin, D., & Srivastava, M. B. (2006). Controllably mobile infrastructure for low energy embedded networks. IEEE Transactions on Mobile Computing, 5(8), 958–973.CrossRef
7.
Shah, K., Di Francesco, M., Anastasi, G., & Kumar, M. (2011). A framework for resource-aware data accumulation in sparse wireless sensor networks. Computer Communications, 34(17), 2094–2103.CrossRef
8.
Vuran, M. C., & Akyildiz, I. F. (2009). Error control in wireless sensor networks: a cross layer analy-sis. IEEE/ACM Transactions on Networking, 17(4), 1186–1199.CrossRef
9.
Xie, P., Zhou, Z., Peng, Z., Cui, J. H., & Shi, Z. (2010). SDRT: A reliable data transport protocol for underwater sensor networks. Ad Hoc Networks, 8(7), 708–722.CrossRef
10.
Iyer, Y. G., Gandham, S., & Venkatesan, S. (2005, October). STCP: A generic transport layer protocol for wireless sensor networks. In Proceedings of the 14th international conference on computer communications and networks (pp. 449-454), ICCCN 2005. New York: IEEE Press.
11.
Marchi, B., Grilo, A., & Nunes, M. (2007, July). DTSN: Distributed transport for sensor networks. In 12th IEEE symposium on computers and communications (pp. 165–172), ISCC 2007.
12.
Wan, C. Y., Campbell, A. T., & Krishnamurthy, L. (2005). Pump-slowly, fetch-quickly (PSFQ): A reliable transport protocol for sensor networks. IEEE Journal on Selected Areas in Communications, 23(4), 862–872.CrossRef
13.
Mahmood, M. A., & Seah, W. K. (2012). Reliability in wireless sensor networks: Survey and challenges ahead. Wellington: School of Engineering and Computer Science, Victoria University of Wellington.
14.
Srouji, M. S., Wang, Z., & Henkel, J. (2011, December). RDTS: A reliable erasure-coding based data transfer scheme for wireless sensor networks. In 2011 IEEE 17th international conference on parallel and distributed systems (ICPADS) (pp. 481–488).
15.
Stann, F., & Heidemann, J. (2003, May). RMST: Reliable data transport in sensor networks. In Proceedings of the first IEEE international workshop onsensor network protocols and applications (pp. 102–112). IEEE.
16.
Park, S. J., Sivakumar, R., Akyildiz, I. F., & Vedantham, R. (2008). GARUDA: Achieving effective reliability for downstream communication in wireless sensor networks. IEEE Transactions on Mobile Computing, 7(2), 214–230.CrossRef
17.
Wu, C., Ji, Y., Xu, J., Ohzahata, S., & Kato, T. (2014). Coded packets over lossy links: A redundancy-based mechanism for reliable and fast data collection in sensor networks. Computer Networks, 70, 179–191.CrossRef
18.
Hosseinzadeh, M., Molahosseini, A. S., & Navi, K. (2008). An improved reverse converter for the moduli set \(\{2^n-1, 2^n, 2^n+1, 2^{n+1}-1\}\). IEICE Electronics Express, 5(17), 672–677.CrossRef
19.
Garner, H. L. (1959). The residue number system. IRE Transactions on Electronic Computers, 2, 140–147.CrossRef
20.
Navi, K., Molahosseini, A. S., & Esmaeildoust, M. (2011). How to teach residue number system to computer scientists and engineers. IEEE Transactions on Education, 54(1), 156–163.CrossRef
21.
Conway, R., & Nelson, J. (2004). Improved RNS FIR filter architectures. IEEE Transactions on Circuits and Systems II: Express Briefs, 51(1), 26–28.CrossRef
22.
Bajard, J. C., & Imbert, L. (2004). A full implementation RSA in RNS. IEEE Transactions on Computers, 53(6), 769–774.CrossRef
23.
Ramrez, J., Garca, A., Meyer-Baese, U., & Lloris, A. (2002). Fast RNS FPL-based communications receiver design and implementation. In Field-programmable logic and applications: Reconfigurable computing is going mainstream (pp. 472–481). Berlin: Springer Heidelberg.
24.
Taylor, F. J. (1984). Residue arithmetic: A tutorial with examples. Computer, 17(5), 50–62.CrossRef
25.
Sengupta, A., & Natarajan, B. (2014). Redundant residue number system based space-time block codes. Physical Communication, 12, 1–15.CrossRef
26.
Barsi, F., & Maestrini, P. (1973). Error correcting properties of redundant residue number systems. IEEE Transactions on Computers, 100(3), 307–315.CrossRef
27.
Kinoshita, E., & Lee, K. J. (1997). A residue arithmetic extension for reliable scientific computation. IEEE Transactions on Computers, 46(2), 129–138.CrossRef
28.
Haron, N. Z., & Hamdioui, S. (2011). Redundant residue number system code for fault-tolerant hybrid memories. ACM Journal on Emerging Technologies in Computing Systems (JETC), 7(1), 4.
29.
Matutino, P. M., Chaves, R., & Sousa, L. (2014). An efficient scalable RNS architecture for large dynamic ranges. Journal of Signal Processing Systems, 77(1–2), 191–205.
30.
Modiri, S., Movaghar, A., & Barati, A. (2012). Study of error control capability for the new moduli set \(\{2^{2n+1}+2^n-1, 2^{2n+1}-1, 2^n-1, 2^{2n}, 2^{2n+1}-1\}\). Journal of Advanced Computer Science & Technology, 1(4), 176–186.CrossRef
31.
Modiri, S., Movaghar, A., & Barati, A. (2012). An efficient reverse converter for the new modulus set \(\{2^{2n+2}1, 2^{2n+1}1,2^n \}\). International Journal of Advanced Research in Computer Science and Software Engineering, 2(8), 447–452.
32.
Piestrak, S. J. (1995). A high speed realization of a residue to binary converter. IEEE Transactions on circuits and systems. II, Analogue and digital Signal Processing, 42(10), 661–663.
33.
Molahosseini, A. S., Navi, K., Dadkhah, C., Kavehei, O., & Timarchi, S. (2010). Efficient reverse converter designs for the new 4-moduli sets and based on new CRTs. IEEE Transactions on Circuits and Systems I: Regular Papers, 57(4), 823–835.CrossRef
34.
Wang, W., Swamy, M. N. S., Ahmad, M. O., & Wang, Y. (2000). A high-speed residue-to-binary converter for three-moduli (\(2^k, 2^{k-1}, 2^{k-1}-1\)) RNS and a scheme for its VLSI implementation. IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 47(12), 1576–1581.CrossRef
35.
Mohan, P. A., & Premkumar, A. B. (2007). RNS-to-binary converters for two four-moduli sets \( \{2^n-1, 2^n, 2^n+1, 2^{n+1}-1\} \) and \(\{2^n-1, 2^n, 2^n+1, 2^{n+1}+1 \}\). IEEE Transactions on Circuits and Systems I: Regular Papers, 54(6), 1245–1254.CrossRef
36.
Sheu, M. H., Lin, S. H., Chen, C., & Yang, S. W. (2004). An efficient VLSI design for a residue to binary converter for general balance moduli \(\{2^n-3, 2^n-1, 2^n+1, 2^n+3\}\). IEEE Transactions on Circuits and Systems II: Express Briefs, 51(3), 152–155.CrossRef
37.
Cao, B., Srikanthan, T., & Chang, C. H. (2005). Efficient reverse converters for four-moduli sets \(\{2^n-1, 2^n, 2^n+1, 2^{n+1}-1\}\) and \( \{2^n-1, 2^n, 2^n+1, 2^{n-1}-1\} \). IEE Proceedings-Computers and Digital Techniques, 152(5), 687–696.CrossRef
38.
Mohan, P. A. (2008). New reverse converters for the moduli set \(\{2^n-3, 2^n-1, 2^n+1, 2^n+3\}\). AEU-International Journal of Electronics and Communications, 62(9), 643–658.CrossRef
39.
Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). A survey on sensor networks. IEEE Communications magazine, 40(8), 102–114.CrossRef
40.
Metadaten
Titel
RDTP: reliable data transport protocol in wireless sensor networks
verfasst von
Ali Barati
Ali Movaghar
Masoud Sabaei
Publikationsdatum
01.07.2016
Verlag
Springer US
Erschienen in
Telecommunication Systems / Ausgabe 3/2016
Print ISSN: 1018-4864
Elektronische ISSN: 1572-9451
DOI
https://doi.org/10.1007/s11235-015-0098-2

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