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An efficient fuzziness based contiguous node refining scheme with cross-layer routing path in WSN

Abstract

In the applications of Wireless Sensor Network, sensor nodes broadcast the data towards the destination. Localization is considered as the most important and interesting area in WSN as identifying the location of sensor nodes is needful for many situations. The proposed work, points on discovering the sensor node location and promotes cross layer effective routing path searching for the reliable data transmission in the network. The proposed work consists of three main phases. The initial phase includes the cross-layer link establishment. The second phase includes, identifying the fuzziness of wireless sensors. It tracks the location of sensor nodes and analyzes the behaviour. This can be done with the algorithm namely; Fuzziness based Contiguous nodes Refining Algorithm. Since the characteristics of nodes may vary often, the algorithm finds the unsuitable communication node in the routing path and removes it. Source node controls the activities of the intermediate nodes in the routing path. After identifying and removing the unsuitable nodes, in final phase, an effective routing path is established by using the scheme called Efficient Fuzziness based Contiguous node refining with cross-layer routing Scheme (EFCRS) is proposed. This selects the routing nodes from starting node to ending node with the lesser energy usage. At last, destination node acquires the enhanced throughput and reduced consumption of energy. It also obtains minimum packet latency. Simulation is carried out and found it, achieves better performance than existing algorithms in comparing metrics end to end delay, overhead, connectivity ratio, throughput and energy consumption.

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References

  1. Tian Y, Ekici E (2007) Cross-Layer Collaborative In-Network Processing in Multihop Wireless Sensor Networks. IEEE Trans Mob Comput 6(3)

  2. Mottola L, Picco GP (2011) MUSTER: Adaptive Energy-Aware Multisink Routing in Wireless Sensor Networks. IEEE Trans Mob Comput 10(12)

  3. Yessad S, Bouallouche-Medjkoune L, Aïssani D (2015) A cross-layer routing protocol for balancing energy consumption in wireless sensor networks. Wirel Pers Commun 81(3):1303–1320

    Article  Google Scholar 

  4. Neela N, Ramanaiah OBV (2016) A Comprehensive Cross-Layer Framework for Optimization of Correlated Data Gathering in Wireless Sensor Networks. 2016 IEEE 6th International Conference on Advanced Computing (IACC). IEEE

  5. Singh R, Rai BK, Bose SK (2016) A low delay cross-layer contention based synchronous MAC protocol for a multi-hop WSN." Region 10 Conference (TENCON), 2016 IEEE. IEEE

  6. Fan G, Chen N, Wang X (2016) A cross-layer contention-based MAC protocol for underwater acoustic networks. 2016 3rd International Conference on Systems and Informatics (ICSAI), IEEE

  7. Haqbeen JA et al (2016) Intelligent Cross-Layer Protocol with traffic-differentiation-based QoS for wireless sensor networks. Region 10 Conference (TENCON), 2016 IEEE. IEEE

  8. Paulus R, Jaiswal AK, Kumar M (2016) MEACSRA: Mobility and energy-aware cross-layer searching routing algorithm for wireless sensor network. 2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), IEEE

  9. Ammar AB et al (2016) Multi-hop LEACH based cross-layer design for large scale wireless sensor networks. Wireless Communications and Mobile Computing International Conference (IWCMC). IEEE

  10. Mammu ASK et al (2015) Cross-layer cluster-based energy-efficient protocol for wireless sensor networks. Sensors 15(4):8314–8336

    Article  Google Scholar 

  11. Chen Y et al (2015) Cross-Layer Design for Energy-Efficient Reliable Routing in Wireless Sensor Networks. 2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN), IEEE

  12. Imen B, Mahmoud PA (2015) Hierarchical organization with a cross layers using smart sensors for intelligent cities. SAI Intelligent Systems Conference (Intelli Sys), 2015. IEEE

  13. Resner D, Fröhlich AA (2015) Design rationale of a cross-layer, trustful space-time protocol for wireless sensor networks. Emerging Technologies & Factory Automation (ETFA), 2015 IEEE 20th Conference on, IEEE

  14. Shareef, A, Shareef A, Zhu Y (2015) Optrix: Energy aware cross layer routing using convex optimization in wireless sensor networks. Proceedings of the International conference on Networking, Architecture and Storage (NAS), IEEE

  15. Kusumamba S, Kumar SMD (2015) A reliable cross layer routing scheme (CL-RS) for wireless sensor networks to prolong network lifetime. Advance Computing Conference (IACC), 2015 IEEE International. IEEE

  16. Peng Q et al (2014) Multipath Routing Protocol Based on Congestion Control Mechanism Implemented by Cross-Layer Design Concept for WSN. Proceedings of the International Conference on Computational Science and Engineering (CSE), IEEE

  17. Parmar JK, Mehta M (2014) A cross layered approach to improve energy efficiency of underwater wireless sensor network. Proceedings of the IEEE International conference on Computational Intelligence and Computing Research (ICCIC), 2014. IEEE

  18. Li H et al (2014) A cross-layer design for data collecting of the UAV-wireless sensor network system. 2014 12th IEEE International Conference on Embedded and Ubiquitous Computing (EUC), IEEE

  19. Rikli N-E, Alabdulkarim M (2014) Cross-Layer-Based Adaptive Video Transport Over Low Bit-Rate Multihop WSNs. Can J Electr Comput Eng 37(4):182–191

    Article  Google Scholar 

  20. Biswas S, Chandra A, Roy SD (2014) Cross-layer energy model for relay assisted 802.15. 4 networks in a non-beacon-enabled mode. 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI, IEEE

  21. Patil S, Gothawal DB, Wagh SJ (2014) A cross-layer topology control with clustering and routing for energy efficient wireless sensor networks. 2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE). IEEE

  22. Li C, et al (2014) Cross-layer congestion control algorithm based on compressed sensing in wireless sensor networks. Control Conference (CCC), 2014 33rd Chinese. IEEE

  23. Palaniswami S, Rajaram A (2010) Detecting Malicious Node in MANET Using Trust Based Cross-Layer Security Protocol. International Journal of Computer Science and Information Technologies 1(2):130–137

    Google Scholar 

  24. Sridevi AP, Rajaram A (2014) Efficient Energy based Multipath Cluster Routing Protocol for Wireless Sensor Networks. J Theor Appl Inf Technol 68(2):369–378

    Google Scholar 

  25. Son HH, Ngan RT, Ali M, Fujita H, Abdek-Basset M, Giang NL, Manogaran G, Priyan MK (2019) A New Representation of Intuitionistic Fuzzy Systems and their applications in critical decision-making. IEEE Intell Syst. IEEE. https://doi.org/10.1109/MIS.2019.2938441

  26. Lahane SR, Jariwala KN (2018) Cross layer design approach for routing optimization in wireless sensor network. International Journal of Advanced Computational Engineering and Networking 6(3):41–48

    Google Scholar 

  27. Dhage MR, Vemuru S (2015) A Survey on cross layer solutions for routing in wireless sensor network. International Journal of Engineering Research & Technology 4(8):397–402

    Google Scholar 

  28. Umar IA, Hanapi ZM, Sali A, Zulkarnain ZA (2017) TruFiX: A Configured Trust-Based Cross-Layer Protocol for Wireless Sensor Networks. IEEE Access 5:2550–2562

    Article  Google Scholar 

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Correspondence to R. Elavarasan.

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Elavarasan, R., Chitra, K. An efficient fuzziness based contiguous node refining scheme with cross-layer routing path in WSN. Peer-to-Peer Netw. Appl. 13, 2099–2111 (2020). https://doi.org/10.1007/s12083-019-00825-0

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Keywords

  • Contiguous node refining
  • Reliable data transmission
  • Cross-layer routing scheme