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Spatial correlation based MAC protocol for WSN

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Abstract

In densely deployed sensor networks, numerous sensor nodes may record any event that takes place in the area. However, in such scenarios, multiple nodes may attempt to send the recorded data simultaneously, resulting in increased chances of collisions and energy wastage. In order to alleviate this problem, this paper proposes a new approach to minimize the number of copies generated by correlated sensor nodes. This is accomplished by grouping the sensor nodes into correlated regions and selecting only a subset of nodes to send their recorded data to the sink. The proposed approach incorporates a new medium access protocol that puts the selected sensor nodes in sleep mode when not required. Additionally, a spatial correlation model is developed to identify correlated regions, and a node selection algorithm is proposed to select the appropriate sensor nodes. Simulation results indicate that the proposed approach significantly reduces both energy consumption and reporting delay by exploiting correlation characteristics and optimal node selection.

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References

  • Buettner M, Yee GV, Anderson E, Han R (2006) X-MAC: a short preamble MAC protocol for duty-cycled wireless sensor networks. ACM Press, Oct, Proc. ACM Embedded Networked Sensor Systems, pp 307–320

    Google Scholar 

  • Cao L, Cai Y, Yue Y (2020) Data fusion algorithm for heterogeneous wireless sensor networks based on extreme learning machine optimized by particle swarm optimization. J Sens 2020.

  • Chen J, Shu T, Li T, de Silva CW (2019) Deep reinforced learning tree for spatiotemporal monitoring with mobile robotic wireless sensor networks. IEEE Trans Syst Man Cybernet 50(11):4197–4211

    Article  Google Scholar 

  • Dam TV, Langendoen K (2003) An adaptive energy-efficient MAC protocol for wireless sensor networks. ACM Press, Nov, Proc. ACM Embedded Networked Sensor Systems, pp 171–180

    Google Scholar 

  • Du S, Saha AK, Johnson DB RMAC: A routing-enhanced duty-cycle MAC protocol for wireless sensor networks. In: Proc. IEEE Computer and Communications Societies (INFOCOM 02), IEEE Press, May 2007, pp. 1478–1486.

  • . El-Hoiydi A, Decotignie JD WiseMAC: an ultra-low power MAC protocol for the downlink of infrastructure wireless sensor networks, In: Proc. IEEE Symp. Computers and Communications (ISCC 04), IEEE Press, Jun. 2004, pp. 244–251. IEEE.

  • Jarwan A, Sabbah A, Ibnkahla M (2019) Data transmission reduction schemes in WSNs for efficient IoT systems. IEEE J Sel Areas Commun 37(6):1307–1324

    Article  Google Scholar 

  • Karp B, Kung HT GPSR: greedy perimeter stateless routing for wireless networks. In: Proc. ACM/IEEE Mobile Computing and Networking (MobiCom 2000), ACM/IEEE Press, Aug. 2000, pp. 243–254.

  • Le TD, Pham ND, Choo H (2008). Towards a distributed clustering scheme based on spatial correlation in wsns. In: 2008 International Wireless Communications and Mobile Computing Conference (pp. 529–534). IEEE.

  • Liu Z, Xing W, Zeng B, Wang Y, Lu D (2013) Distributed spatial correlation-based clustering for approximate data collection in WSNs. In: 2013 IEEE 27th international conference on advanced information networking and applications (AINA) (pp.56–63).

  • The Network Simulator—ns-2. [Online]. http://www.isi.edu/nsnam/ns/index.html

  • Polastre J, Hill J, Culler D (2003) Versatile low power media access for wireless sensor networks. ACM Press, Nov, Proc. ACM Embedded Networked Sensor Systems, pp 95–107

    Google Scholar 

  • Rhee I, Warrier A, Aia M, Min J, Sichitiu ML (2008) Z-MAC: a hybrid MAC for wireless sensor networks. IEEE/ACM Trans Netw 16:511–524

    Article  Google Scholar 

  • Shakya RK, Singh YN, Verma NK (2013) Generic correlation model for wireless sensor network applications. IET Wireless Sensor Systems 3:266–276

    Article  Google Scholar 

  • Shakya RK, Singh YN, Verma NK A correlation model for MAC protocols in event-driven wireless sensor networks. In: Proc. IEEE (TENCON 2012), IEEE press, Nov. 2012, pp. 1–6.

  • Singh M, Soni SK (2019) Fuzzy based novel clustering technique by exploiting spatial correlation in wireless sensor network. J Ambient Intell Human Comput 10:1361–1378

    Article  Google Scholar 

  • Singh M, Soni SK (2021) Network lifetime enhancement of WSNs using correlation model and node selection algorithm. Ad Hoc Netw 114:102441

    Article  Google Scholar 

  • Sun Y, Gurewitz O, Johnson DB (2008) RI-MAC: a receiver-initiated asynchronous duty cycle MAC protocol for dynamic traffic loads in wireless sensor networks. ACM Press, Nov, Proc. ACM Embedded Networked Sensor Systems, pp 1–14

    Google Scholar 

  • Villas LA, Boukerche A, De Oliveira HA, De Araujo RB, Loureiro AA (2014) A spatial correlation aware algorithm to perform efficient data collection in wireless sensor networks. Ad Hoc Netw 12:69–85

    Article  Google Scholar 

  • Vuran MC, Akyildiz IF (2006) Spatial correlation-based collaborative medium access control in wireless sensor networks. IEEE/ACM Trans Netw 14:316–329

    Article  Google Scholar 

  • Xu J, Liu W, Lang F, Zhang Y, Wang C (2010) Distance measurement model based on RSSI in WSN. Wirel Sens Netw 2:606–611

    Article  Google Scholar 

  • Ye W, Heidemann J, Estrin D An energy-efficient MAC protocol for wireless sensor networks, In: Proc. IEEE Computer and Communications Societies (INFOCOM 02), IEEE Press, Jun. 2002, pp. 1567–1576.

  • Zhang R, Wang H, Li W (2018) Spatial Correlation Analysis of Wireless Sensor Networks. IEEE Trans Veh Technol 67(8):6854–6864

    Google Scholar 

  • Zheng G, Tang S (2011) Spatial correlation-based MAC protocol for event-driven wireless sensor networks. J Networks 6:121–128

    Article  Google Scholar 

Download references

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  1. Department of ECE, Dr B R Ambedkar National Institute of Technology Jalandhar, Punjab, India

    Manjeet Singh

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  1. Manjeet Singh
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Singh, M. Spatial correlation based MAC protocol for WSN. J Ambient Intell Human Comput 15, 2093–2103 (2024). https://doi.org/10.1007/s12652-023-04738-y

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