Abstract
Wireless sensor network (WSN) plays a significant role in various commercial, industrial and agriculture sector in wide ranges of applications. Routing is necessary to maintain the reliable communication between different nodes, cluster heads, and base station; however, performance of routing mechanism is challenging due to network lifetime, dynamic nodes, higher packet drop, scalability issue, limited adaptability and environmental conditions. This paper presents various routing techniques used in WSN that covers the brief overview of flat routing, hierarchical routing, location-based routing and bio-inspired routing techniques such as Ant Colony Optimization (ACO) and Artificial Bee Colony Optimization (ABC) algorithms. It focuses on the routing mechanism, routing scenario, mobility, scalability, energy consumption, data aggregation, performance evaluation metrics, challenges and constraints of the routing in WSN. This comprehensive survey provides the future direction for the improvement in routing mechanisms in WSN.
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References
Zagrouba R, Kardi A (2021) Comparative study of energy efficient routing techniques in wireless sensor networks. Information 12(1):42
Fahmy HMA (2021) WSN Applications. In: Concepts, Applications, Experimentation and Analysis of Wireless Sensor Networks, pp 67–232. Springer, Cham. https://doi.org/10.1007/978-3-030-58015-5_3
Devika G, Karegowda AG, Ramesh D (2020) Survey of WSN routing protocols. Int J Appl Evolut Comput (IJAEC) 11(1):34–51
Chan L, Chavez KG, Rudolph H, Hourani A (2020) Hierarchical routing protocols for wireless sensor network: a compressive survey. Wirel Netw 26(5):3291–3314
Shafiq M, Ashraf H, Ullah A, Tahira S (2020) Systematic literature review on energy efficient routing schemes in WSN–a survey. Mob Netw Appl 1–14
Hussein SA (2020) A new wireless sensor networks routing algorithm based on SPIN protocols and circumference technique 6(9):21–27
Yu X, Li F, Li T, et al (2022) Trust-based secure directed diffusion routing protocol in WSN. J Ambient Intell Human Comput 13:1405–1417. https://doi.org/10.1007/s12652-020-02638-z
Kheroua L, Moussaoui S, el houda Baroud N, Chaib O (2018) An optimized relative coordinates rumor routing (ORCRR) for wireless sensor networks. In: 2018 International Conference on Smart Communications in Network Technologies (SaCoNeT), pp 312–316, October 2018. IEEE
Ramos AR, Velez FJ, Gardašević G (2020) Performance evaluation of source routing minimum cost forwarding protocol over 6TiSCH applied to the OpenMote-B platform. In: José R, Van Laerhoven K, Rodrigues H (eds.) 3rd EAI International Conference on IoT in Urban Space, p 123. Urb-IoT 2018. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-28925-6_11
Migabo ME, Olwal TO, Djouani K, Kurien AM (2017) Cooperative and adaptive network coding for gradient based routing in wireless sensor networks with multiple sinks. J Comput Netw Commun 2017:10 p. Article ID 5301462. https://doi.org/10.1155/2017/5301462
Moundounga ARA, Satori H, Satori K (2020) An overview of routing techniques in WSNs. In: 2020 Fourth International Conference On Intelligent Computing in Data Sciences (ICDS), pp 1–7. IEEE
Behera TM, Samal UC, Mohapatra, SK (2019) Routing Protocols. In: Computational Intelligence in Sensor Networks, pp 79–99. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-319-78262-1_300574
Li Z, Shan D (2020) Research on 3D wireless sensor networks ISC-EAR routing algorithm. Adv Netw 8(2):16
Jurado-Lasso FF, Clarke K, Cadavid AN, Nirmalathas A (2021) Energy-aware routing for software-defined multihop wireless sensor networks. IEEE Sens J 21(8):10174–10182
Nguyen MT, Teague KA (2017) Compressive sensing based random walk routing in wireless sensor networks. Ad Hoc Netw 54:99–110 (2017)
Salem AOA, Shudifat N (2019) Enhanced LEACH protocol for increasing a lifetime of WSNs. Pers Ubiquit Comput 23(5):901–907
Khedr AM, Aziz A, Osamy W (2021) Successors of PEGASIS protocol: a comprehensive survey. Comput Sci Rev 39:100368
Asqui OP, Marrone LA, Chaw EE (2020) Evaluation of TEEN and APTEEN hybrid routing protocols for wireless sensor network using NS-3. In: Rocha Á, Ferrás C, Montenegro Marin C, Medina García V (eds.) Information Technology and Systems. ICITS 2020. AISC, vol 1137, pp 589–598. Springer, Cham. https://doi.org/10.1007/978-3-030-40690-5_56
Wang M, Wang S, Zhang B (2020) APTEEN routing protocol optimization in wireless sensor networks based on combination of genetic algorithms and fruit fly optimization algorithm. Ad Hoc Netw 102:102138
Almesaeed R, Jedidi A (2021) Dynamic directional routing for mobile wireless sensor networks. Ad Hoc Netw 110:102301 (2021)
He Q, Mou J, Lin B (2021) A robust self-organizing tree-based routing protocol for wireless sensor networks. Math Probl Eng 2021:13 p. Article ID 5932347. https://doi.org/10.1155/2021/5932347
Vikneshkumar D, Kaleeswaran D, Yuvaraj D (2020) Analysis on performance comparison of virtual grid-base dynamic route adjustment in wireless detector networks. ICTACT J Commun Technol 11(1):2138–2142
Li Q, Aslam J, Rus D (2001) Hierarchical power-aware routing in sensor networks. In: Proceedings of the of the DIMACS Workshop on Pervasive Networking
Devi RR, Sethukarasi T (2020) Energy harvesting in physical sensors using hybrid selection of active nodes in optimized GAF protocol for wireless sensor networks. Solid State Technol 63(6):23087–23097
Priyadarshi R, Soni SK, Sharma P (2019) An enhanced GEAR protocol for wireless sensor networks. In: Nanoelectronics, Circuits and Communication Systems, pp 289–297
Agarwal A, Dev A (2020) Extended RSSI based cluster head selection algorithm for wireless sensor networks. Int J Futur Gener Commun Netw 13(1):559–568
Grazia CA, Klapez M, Casoni M (2020) IRONMAN: infrastructured RSSI-based opportunistic routiNg in mobile adhoc networks. In: 2020 16th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (50308), pp 14–19. IEEE
Fu X, Fortino G, Pace P, Aloi G, Li W (2020) Environment-fusion multipath routing protocol for wireless sensor networks. Inf Fusion 53:4–19
Nakas C, Kandris D, Visvardis G (2020) Energy efficient routing in wireless sensor networks: a comprehensive survey. Algorithms 13(3):72 (2020)
Bhasgi SS, Terdal S (2021) A survey on bio-inspired routing algorithms in wireless sensor network. Int Trans J Eng Manag Appl Sci Technol 12(2):12A2Q-1
Chen X et al (2020) Artificial intelligence-empowered path selection: a survey of ant colony optimization for static and mobile sensor networks. IEEE Access 8:71497–71511
Kaur S, Mahajan R (2017) ACCGP: enhanced ant colony optimization, clustering and compressive sensing based energy efficient protocol. Adv Wirel Mob Commun 10(1):89–109
Nasir HJ, Ku-Mahamud KR, Kamioka E (2017) Ant colony optimization approaches in wireless sensor network: performance evaluation. J Comput Sci 13(6):153–164
Kakarash ZA, Karim SHT, Ahmed NF, Omar GA (2021) New topology control base on ant colony algorithm in optimization of wireless sensor network. Passer J 3(2):2
Muthumayil K, Buvana M, Jayasankar T (2021) Energy utilization using artificial bee colony algorithm for network life time enhancement of homogeneous WSNs. Int J Mod Agric 10(2):1649–1656
Wang Z, Ding H, Li B, Bao L, Yang Z (2020) An energy efficient routing protocol based on improved artificial bee colony algorithm for wireless sensor networks. IEEE Access 8:133577–133596
Wang H, Wang W, Xiao S, Cui Z, Xu M, Zhou X (2020) Improving artificial bee colony algorithm using a new neighborhood selection mechanism. Inf Sci 527:227–240
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Thekiya, ., Nikose, M.D. (2022). Role of Routing Techniques in Wireless Sensor Networks – A Survey. In: Majhi, S., Prado, R.P.d., Dasanapura Nanjundaiah, C. (eds) Distributed Computing and Optimization Techniques. Lecture Notes in Electrical Engineering, vol 903. Springer, Singapore. https://doi.org/10.1007/978-981-19-2281-7_70
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DOI: https://doi.org/10.1007/978-981-19-2281-7_70
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