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CL-mWSNs: Cross Layer Model-Based QoS Centric Routing Protocol for Mission-Critical Cooperative Communication in Mobile WSNs

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents a robust QoS centric routing protocol for mission-critical communication over mobile Wireless Sensor Networks (CL-mWSN) that exploits dynamic network states from the different layers of the IEEE 802.15.4 protocol stack to make the routing decision. The CL-mWSN protocol exploits three key layers: application layer, network layer and MAC layer. It exhibits proactive network and node table management, service differentiation, fair resource scheduling and congestion detection, avoidance at the network layer, as well as dynamic link quality estimation and packet injection rate estimation at the MAC layer to assess its candidature as the best forwarding node for QoS-centric mission-critical communication. Simulation reveals that the proposed routing model exhibits higher throughput, minimum loss and deadline miss ratio that augments QoS provision in mobile WSNs.
Rocznik
Tom
Strony
53--63
Opis fizyczny
Bibliogr. 31 poz., rys., tab.
Twórcy
  • School of Electronics & Communication, REVA University, Bangalore, India
  • School of Electronics & Communication, REVA University, Bangalore, India
  • Department of Computer Science, Nitte Meenakshi Institute of Technology, Bangalore, India
Bibliografia
  • [1] Y. Chen, L. Gao, Y. Xing, and W. Yi, “Cross-layer design for energyefficient reliable routing in wireless sensor networks”, in Proc. 11th Int. Conf. on Mob. Ad-hoc and Sensor Netw. MSN 2015, Shenzhen, China, 2015, pp. 31–36 (doi: 10.1109/MSN.2015.44).
  • [2] H. Mythrehee and A. Julian, “A cross layer UWSN architecture for marine environment monitoring”, in Proc. Global Conf. on Commun. Technol. GCCT 2015, Thuckalay, India, 2015, pp. 211–216 (doi: 10.1109/GCCT.2015.7342654).
  • [3] G. Peron, G. Brante, R. D. Souza, and M. E. Pellenz, “Physical and MAC cross-layer analysis of energy-efficient cooperative MIMO networks”, IEEE Trans. on Commun., vol. 6, no. 5, pp. 1940–1954, 2018, (doi: 10.1109/TCOMM.2018.2796601).
  • [4] G. Su, B. Cui, and X. Wang, “Cross-layer approach to joint transmitter selection for cooperative transmission”, in Proc. 16th Int. Symp. on Commun. and Inform. Technol. ISCIT 2016, Qingdao, China, 2016, pp. 426–430 (doi: 10.1109/ISCIT.2016.7751666).
  • [5] K. P. Rao and P. V. Sridevi, “An integrated cross layer approach for throughput improvement in wireless sensor networks”, in Proc. 10th Int. Conf. on Intell. Syst. and Control ISCO 2016, Coimbatore, India, 2016, pp. 1–6 (doi: 10.1109/ISCO.2016.7727114).
  • [6] A. K. Patil and A. J. Patil, “Integrated cross layer controlling for wireless sensor network”, in Proc. Int. Conf. on Pervasive Comput. ICPC 2015, Pune, India, 2015, pp. 1–6 (doi: 10.1109./PERVASIVE.2015.7087160).
  • [7] B. Imen and M. Abdellaoui, “Hierarchical organization by crossing between different layers for WSN energy saving”, in Proc. 15th Int. Conf. on Sci. and Techniq. of Autom. Control and Comp. Engin. STA 2014, Hammamet, Tunisia, 2014, pp. 1020–1023 (doi: 10.1109/STA.2014.7086772).
  • [8] M. Wan, Z. Lu, L. Wang, X. Xia, and X. Wen, “A QoE-oriented cross-layer resource allocation scheme for mobile service over Open Wireless Network”, in Proc. Int. Symp. on Wirel. Pers. Multim. Commun. WPMC 2014, Sydney, NSW, Australia, 2014, pp. 186–191 (doi: 10.1109/WPMC.2014.7014814).
  • [9] Y. Ozen, C. Bayilmis, N. Bandirmali, and I. Erturk, “Two tiered service differentiation and data rate adjustment scheme for WMSNs cross layer MAC”, in Proc. 11th Int. Conf. on Electron., Comp. and Comput. ICECCO 2014, Abuja, Nigeria, 2014 (doi: 10.1109/ICECCO.2014.6997561).
  • [10] H. Li, L. Wang, S. Pang, and M. Towhidnejad, “A cross-layer design for data collecting of the UAV-wireless sensor network system”, in Proc. 12th IEEE Int. Conf. on Embedded and Ubiquit. Comput., Milano, Italy, 2014, pp. 242–249 (doi: 10.1109/EUC.2014.43).
  • [11] Y. L. Chen, G. Tian, J. Gao, and Y. C. Tian, “Cross-layer design for traffic management in wireless networked control systems”, in Proc. 9th IEEE Conf. on Indust. Electron. and Appl., Hangzhou, China, 2014, pp. 187–192 (doi: 10.1109/ICIEA.2014.6931156).
  • [12] R. El Mezouary, A. Loutfi, and M. El Koutbi, “A cross-layer architecture for service differentiation in wireless sensor networks with multiple sinks”, in Proc. Int. Conf. on Multim. Comput. and Syst. ICMCS 2014, Marrakech, Morocco, 2014, pp. 843–848 (doi: 10.1109/ICMCS.2014.6911279).
  • [13] J. Peng, J. Jingqi, S. Qiushuo, and Z. Songyang, “A noble cross-layer protocol for QoS optimization in wireless sensor networks”, in Proc. 26th Chinese Control and Decision Conf. CCDC 2014, Changsha, China, 2014, pp. 2430–2434 (doi: 10.1109/CCDC.2014.6852581).
  • [14] Q. Xiong and X. Li, “Cross-layer design of MAC and application semantics in wireless sensor networks”, in Proc. 4th Int. Conf. on Commun. Syst. and Netw. Technol., Bhopal, India, 2014, pp. 147–150 (doi: 10.1109/CSNT.2014.38).
  • [15] M. Mishra, G. S. Gupta, and X. Gui, “A review of and a proposal for cross-layer design for efficient routing and secure data aggregation over WSN”, in Proc. 3rd Int. Conf. on Computat. Intell. and Netw. CINE 2017, Odisha, India, 2017, pp. 120–125 (doi: 10.1109/CINE.2017.30).
  • [16] N. Neela and O. B. V. Ramanaiah, “A comprehensive cross-layer framework for optimization of correlated data gathering in wireless sensor networks”, in Proc. IEEE 6th Int. Conf. on Adv. Comput. IACC 2016, Bhimavaram, India, 2016, pp. 582–587 (doi: 10.1109/IACC.2016.113).
  • [17] R. Singh, B. K. Rai, and S. K. Bose, “A low delay cross-layer contention based synchronous MAC protocol for a multi-hop WSN”, in Proc. IEEE Region 10 Conf. TENCON 2016, Singapore, 2016, pp. 1821–1824 (doi: 10.1109/TENCON.2016.7848335).
  • [18] M. Anugraha, A. Anitha, and J. J. Kumari, “Throughput optimization using cross layer flow-based framework in cooperative wireless multihop networks”, in Proc. Global Conf. on Commun. Technol. GCCT 2015, Thuckalay, India, 2015, pp. 366–370 (doi: 10.1109/GCCT.2015.7342685).
  • [19] Q. Peng et al., “Multipath routing protocol based on congestion control mechanism implemented by cross-layer design concept for WSN”, in Proc. IEEE 17th Int. Conf. on Computat. Sci. and Engin., Chengdu, China, 2014, pp. 378–384 (doi: 10.1109/CSE.2014.98).
  • [20] Yong Yuan, Zhihai He, and Min Chen, “Virtual MIMO-based crosslayer design for wireless sensor networks”, IEEE Trans. on Veh. Technol., vol. 55, no. 3, pp. 856–864, 2006 (doi: 10.1109/TVT.2006.873837).
  • [21] L. Shan, Q. Liao, Q. Hu, S. Jiang, and J. Zhao, “A QoE-driven cross-layer resource allocation scheme for high traffic services over open wireless network downlink”, in Proc. IEEE 82nd Veh. Technol. Conf. VTC2015-Fall 2015, Boston, MA, USA, 2015 (doi: 10.1109.VTCFall.2015.7390811).
  • [22] M. A. Gawas, L. J. Gudino, and K. R. Anupama, “Cross layer approach for effective multi hop broadcast in VANET”, in Proc. 9th Int. Conf. on Commun. Syst. and Netw. COMSNETS 2017, Bangalore, India, 2017, pp. 403–404 (doi: 10.1109/COMSNETS.2017.7945414).
  • [23] M. Rath, B. Pati, and B. K. Pattanayak, “Cross layer based QoS platform for multimedia transmission in MANET”, in Proc. 11th Int. Conf. on Intell. Syst. and Control ISCO 2017, Coimbatore, India, 2017, pp. 402–407 (doi: 10.1109/ISCO.2017.7856026).
  • [24] S. Shafi, B. N. Bhandari, and D. V. Ratnam, “An improved cross layer cooperative routing for vehicular networks”, in Proc. Int. Conf. on Res. Adv. in Integr. Navig. Syst. RAINS 2016, Bangalore, India, 2016 (doi: 10.1109/RAINS.2016.7764427).
  • [25] M. A. Gawas, L. J. Gudino, and K. R. Anupama, “Cross layered adaptive cooperative routing mode in mobile ad hoc networks”, in Proc. 22nd Asia-Pacific Conf. on Commun. APCC 2016, Yogyakarta, Indonesia, 2016, pp. 462–469 (doi: 10.1109/APCC.2016.7581425).
  • [26] M. A. Gawas, L. J. Gudino, and K. R. Anupama, “Cross layer multi QoS metric routing for multimedia traffic in 802.11E over MANETs”, in Proc. 8th Int. Conf. on Ubiquit. and Fut. Netw. ICUFN 2016, Vienna, Austria, 2016, pp. 582–587 (doi: 10.1109/ICUFN.2016.7537099).
  • [27] S. Rehman, M. A. Khan, and T. A. Zia, “Cross layer routing for VANETs”, in Proc. of IEEE Int. Symp. on a World of Wirel., Mob. and Multim. Netw. 2014, Sydney, NSW, Australia, 2014 (doi: 10.1109/WoWMoM.2014.6919006).
  • [28] B. Nithya, C. Mala, and E. Sivasankar, “A novel cross layer approach to enhance QoS performance in multihop ad-hoc networks”, in Proc. 17th Int. Conf. on Netw.-Based Inform. Syst., Salerno, Italy, 2014, pp. 229–236 (doi: 10.1109/NBiS.2014.13).
  • [29] E. C. Elias, S. Zhang, E. Liu, E. N. Nweso, and E. C. Joy, “RECMAC: Reliable and efficient cooperative cross-layer MAC scheme for vehicular communication based on random network coding technique”, in Proc. 22nd Int. Conf. on Autom. and Comput. ICAC 2016, Colchester, UK, 2016, pp. 342–347 (doi: 10.1109/IConAC.2016.7604943).
  • [30] O. Chipara et al., “Real-time power-aware routing in sensor networks”, in Proc. 14th IEEE Int. Worksh. on Qual. of Serv., New Haven, CT, USA, 2006 (doi: 10.1109/IWQOS.2006.250454).
  • [31] A. Woo and D. Culler, “Evaluation of efficient link reliability estimators for low-power wireless networks”, Tech. Rep. UCB/CSD-03- 1270, EECS Department, University of California, Berkeley, 2003 [Online]. Available: https://www2.eecs.berkeley.edu/Pubs/ TechRpts/2003/CSD-03-1270.pdf.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f239c5b8-39bf-4017-9850-5f914977b7d1
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