Skip to main content
Erschienen in: Wireless Networks 7/2020

24.06.2020

Service discovery in the Internet of Things: review of current trends and research challenges

verfasst von: Behrouz Pourghebleh, Vahideh Hayyolalam, Amir Aghaei Anvigh

Erschienen in: Wireless Networks | Ausgabe 7/2020

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Recent technologies have made the life of people more comfortable and more straightforward than it was before. With the development of information technology, the Internet of Things (IoT) as an emerging technology has been entered into a lane of development. With the advent of IoT, data sharing, and connections among systems, devices, and people have been facilitated, and daily devices have been equipped with sensors and applications to provide their functionality through services. As a matter of fact, IoT provides a platform where everyday objects become smarter than before, everyday communication becomes informative, and everyday processes become intelligent. In this regard, to provide novel IoT services, numerous heterogeneous frameworks and protocols have been proposed. Since the number of IoT devices or objects is growing day by day, and the number of services is also increasing, discovering and locating appropriate services becomes a vital challenge, and the traditional service discovery strategies are not efficient enough to handle this issue. Service discovery refers to the process of finding suitable services according to clients' requests. Although the service discovery problem has essential impacts on the IoT, there is not any detailed and systematic study of the existing methods in this field. Therefore, this paper aims to find, categorize, and investigate all the effective and valid papers in the field of service discovery in the IoT using a systematic method. The selected papers are discussed based on various service discovery metrics and other criteria such as adopted architecture, search method, service description, discovery scope, adopted simulation tools, and datasets. The advantages and weaknesses of each reviewed paper are specified. Moreover, an abreast comparison of the selected papers is presented, in which the aforementioned methods are evaluated considering the mentioned metrics and criteria. Finally, future research directions and challenging problems are outlined to help researchers improve their innovations.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
6.
Zurück zum Zitat Gautam, S.K., Om, H., Dixit, & K. (2020) Intrusion detection system in internet of things. In Lecture Notes in Networks and Systems (pp. 65–93). Springer. Gautam, S.K., Om, H., Dixit, & K. (2020) Intrusion detection system in internet of things. In Lecture Notes in Networks and Systems (pp. 65–93). Springer.
7.
Zurück zum Zitat Pourghebleh, B., Wakil, K., & Navimipour, N. J. (2019). A comprehensive study on the trust management techniques in the Internet of Things. IEEE Internet Things Journal, 6, 9326–9337.CrossRef Pourghebleh, B., Wakil, K., & Navimipour, N. J. (2019). A comprehensive study on the trust management techniques in the Internet of Things. IEEE Internet Things Journal, 6, 9326–9337.CrossRef
9.
Zurück zum Zitat Shinde, G., & Olesen, H. (2018) A survey on service discovery mechanism. In Advances in Intelligent Systems and Computing (pp 227–236). Springer Shinde, G., & Olesen, H. (2018) A survey on service discovery mechanism. In Advances in Intelligent Systems and Computing (pp 227–236). Springer
14.
Zurück zum Zitat Muhammad, K., Hamza, R., Ahmad, J., Lloret, J., Wang, H., & Baik, S. W. (2018). Secure surveillance framework for IoT systems using probabilistic image encryption. IEEE Transactions on Industrial Informatics., 14, 3679–3689.CrossRef Muhammad, K., Hamza, R., Ahmad, J., Lloret, J., Wang, H., & Baik, S. W. (2018). Secure surveillance framework for IoT systems using probabilistic image encryption. IEEE Transactions on Industrial Informatics., 14, 3679–3689.CrossRef
15.
Zurück zum Zitat Bovenzi, G., Ciuonzo, D., Persico, V., Pescapè, A., & Rossi, P.S. (2018) IoT-enabled distributed detection of a nuclear radioactive source via generalized score tests. In International symposium on signal processing and intelligent recognition systems (pp 77–91). Springer Bovenzi, G., Ciuonzo, D., Persico, V., Pescapè, A., & Rossi, P.S. (2018) IoT-enabled distributed detection of a nuclear radioactive source via generalized score tests. In International symposium on signal processing and intelligent recognition systems (pp 77–91). Springer
16.
Zurück zum Zitat Hasan, M., Islam, M. M., Zarif, M. I. I., & Hashem, M. M. A. (2019). Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches. Internet of Things, 7, 100059.CrossRef Hasan, M., Islam, M. M., Zarif, M. I. I., & Hashem, M. M. A. (2019). Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches. Internet of Things, 7, 100059.CrossRef
19.
Zurück zum Zitat Yousefi, S., Derakhshan, F., Karimipour, H., & Aghdasi, H. S. (2020). An efficient route planning model for mobile agents on the internet of things using Markov decision process. Ad Hoc Networks, 98, 102053.CrossRef Yousefi, S., Derakhshan, F., Karimipour, H., & Aghdasi, H. S. (2020). An efficient route planning model for mobile agents on the internet of things using Markov decision process. Ad Hoc Networks, 98, 102053.CrossRef
23.
Zurück zum Zitat Zorgati, H., Djemaa, R. B., & Amor, I. A. B. (2019). Service discovery techniques in Internet of Things: A survey. In 2019 IEEE international conference on systems, man and cybernetics (SMC) (pp 1720–1725). IEEE. Zorgati, H., Djemaa, R. B., & Amor, I. A. B. (2019). Service discovery techniques in Internet of Things: A survey. In 2019 IEEE international conference on systems, man and cybernetics (SMC) (pp 1720–1725). IEEE.
24.
Zurück zum Zitat Ferdousi, R., & Mandal, P. K. (2019,). LOAMY: A cloud-based middleware for CoAP-based IoT service discovery. In 2019 Second international conference on advanced computational and communication paradigms (ICACCP) (pp. 1–6). IEEE. Ferdousi, R., & Mandal, P. K. (2019,). LOAMY: A cloud-based middleware for CoAP-based IoT service discovery. In 2019 Second international conference on advanced computational and communication paradigms (ICACCP) (pp. 1–6). IEEE.
25.
Zurück zum Zitat Baek, K. D., & Ko, I. Y. (2017). Spatially cohesive service discovery and dynamic service handover for distributed IoT environments. In International Conference on Web Engineering (pp. 60–78). Springer, Cham. Baek, K. D., & Ko, I. Y. (2017). Spatially cohesive service discovery and dynamic service handover for distributed IoT environments. In International Conference on Web Engineering (pp. 60–78). Springer, Cham.
27.
Zurück zum Zitat Hayyolalam, V., & Pourhaji Kazem, A. A. (2018). QoS-aware optimization of cloud service composition using symbiotic organisms search algorithm. Journal of Intelligent Procedures in Electrical Technology., 8, 29–38. Hayyolalam, V., & Pourhaji Kazem, A. A. (2018). QoS-aware optimization of cloud service composition using symbiotic organisms search algorithm. Journal of Intelligent Procedures in Electrical Technology., 8, 29–38.
28.
Zurück zum Zitat Hayyolalam, V., & Kazem, A. A. P. (2018). Review of service composition approaches in cloud environment. In First international comprehensive competition conference on engineering sciences in Iran. Hayyolalam, V., & Kazem, A. A. P. (2018). Review of service composition approaches in cloud environment. In First international comprehensive competition conference on engineering sciences in Iran.
29.
Zurück zum Zitat Asghari, P., Rahmani, A. M., & Javadi, H. H. S. (2018). Service composition approaches in IoT: A systematic review. The Journal of Network and Computer Applications., 120, 61–77.CrossRef Asghari, P., Rahmani, A. M., & Javadi, H. H. S. (2018). Service composition approaches in IoT: A systematic review. The Journal of Network and Computer Applications., 120, 61–77.CrossRef
30.
Zurück zum Zitat Jin, H., Yao, X., & Chen, Y. (2017). Correlation-aware QoS modeling and manufacturing cloud service composition. Journal of Intelligent Manufacturing., 28, 1947–1960.CrossRef Jin, H., Yao, X., & Chen, Y. (2017). Correlation-aware QoS modeling and manufacturing cloud service composition. Journal of Intelligent Manufacturing., 28, 1947–1960.CrossRef
31.
Zurück zum Zitat Liu, C., Zhang, Z., Zhang, S., & Han, Y. (2018, November). Runtime service composition modification supporting situational sensor data correlation. In International conference on service-oriented computing (pp. 169–181). Springer, Cham. Liu, C., Zhang, Z., Zhang, S., & Han, Y. (2018, November). Runtime service composition modification supporting situational sensor data correlation. In International conference on service-oriented computing (pp. 169–181). Springer, Cham.
32.
Zurück zum Zitat Alsaryrah, O., Mashal, I., & Chung, T.-Y. (2018). Bi-objective optimization for energy aware Internet of Things service composition. IEEE Access., 6, 26809–26819.CrossRef Alsaryrah, O., Mashal, I., & Chung, T.-Y. (2018). Bi-objective optimization for energy aware Internet of Things service composition. IEEE Access., 6, 26809–26819.CrossRef
35.
Zurück zum Zitat Hossain, M. S., Moniruzzaman, M., Muhammad, G., Ghoneim, A., & Alamri, A. (2016). Big data-driven service composition using parallel clustered particle swarm optimization in mobile environment. IEEE Transactions on Services Computing, 9, 806–817.CrossRef Hossain, M. S., Moniruzzaman, M., Muhammad, G., Ghoneim, A., & Alamri, A. (2016). Big data-driven service composition using parallel clustered particle swarm optimization in mobile environment. IEEE Transactions on Services Computing, 9, 806–817.CrossRef
37.
Zurück zum Zitat Cabrera, C., Palade, A., & Clarke, S. (2017). An evaluation of service discovery protocols in the internet of things. In Proceedings of the symposium on applied computing (pp. 469–476). Cabrera, C., Palade, A., & Clarke, S. (2017). An evaluation of service discovery protocols in the internet of things. In Proceedings of the symposium on applied computing (pp. 469–476).
38.
Zurück zum Zitat Aziez, M., Benharzallah, S., & Bennoui, H. (2017). Service discovery for the Internet of Things: Comparison study of the approaches. In 2017 4th international conference on control, decision and information technologies (CoDIT) (pp. 0599–0604). IEEE. Aziez, M., Benharzallah, S., & Bennoui, H. (2017). Service discovery for the Internet of Things: Comparison study of the approaches. In 2017 4th international conference on control, decision and information technologies (CoDIT) (pp. 0599–0604). IEEE.
39.
Zurück zum Zitat Abdellatif, S., Tibermacine, O., & Bachir, A. (2019). Service discovery in the Internet of Things: A Survey. Berlin: Springer. Abdellatif, S., Tibermacine, O., & Bachir, A. (2019). Service discovery in the Internet of Things: A Survey. Berlin: Springer.
40.
Zurück zum Zitat Ali, A., Shamsuddin, S. M., Eassa, F. E., & Mohammed, F. (2018). Cloud service discovery and extraction: A critical review and direction for future research. In International conference of reliable information and communication technology (pp. 291–301). Springer, Cham. Ali, A., Shamsuddin, S. M., Eassa, F. E., & Mohammed, F. (2018). Cloud service discovery and extraction: A critical review and direction for future research. In International conference of reliable information and communication technology (pp. 291–301). Springer, Cham.
44.
Zurück zum Zitat Pourghebleh, B., & Jafari Navimipour, N. (2019). Towards efficient data collection mechanisms in the vehicular ad hoc networks. International Journal of Communication Systems, 32, e3893.CrossRef Pourghebleh, B., & Jafari Navimipour, N. (2019). Towards efficient data collection mechanisms in the vehicular ad hoc networks. International Journal of Communication Systems, 32, e3893.CrossRef
45.
Zurück zum Zitat Hayyolalam, V., Pourghebleh, B., Kazem, A. A. P., & Ghaffari, A. (2019). Exploring the state-of-the-art service composition approaches in cloud manufacturing systems to enhance upcoming techniques. International Journal Advanced Manufacturing Technology., 105, 471.CrossRef Hayyolalam, V., Pourghebleh, B., Kazem, A. A. P., & Ghaffari, A. (2019). Exploring the state-of-the-art service composition approaches in cloud manufacturing systems to enhance upcoming techniques. International Journal Advanced Manufacturing Technology., 105, 471.CrossRef
47.
Zurück zum Zitat Butt, T. A., Phillips, I., Guan, L., & Oikonomou, G. (2013). Adaptive and context-aware service discovery for the internet of things. In Internet of things, smart spaces, and next generation networking (pp. 36–47). Springer, Berlin. Butt, T. A., Phillips, I., Guan, L., & Oikonomou, G. (2013). Adaptive and context-aware service discovery for the internet of things. In Internet of things, smart spaces, and next generation networking (pp. 36–47). Springer, Berlin.
48.
Zurück zum Zitat Jo, H. J., Kwon, J. H., & Ko, I. Y. (2015). Distributed service discovery in mobile IoT environments using Hierarchical Bloom Filters. In International conference on web engineering (pp 498–514). Springer, Cham. Jo, H. J., Kwon, J. H., & Ko, I. Y. (2015). Distributed service discovery in mobile IoT environments using Hierarchical Bloom Filters. In International conference on web engineering (pp 498–514). Springer, Cham.
50.
Zurück zum Zitat Krivic, P., Skocir, P., & Kusek, M. (2018). Agent-based approach for energy-efficient IoT services discovery and management. In KES international symposium on agent and multi-agent systems: technologies and applications (pp 57–66). Springer, Cham. Krivic, P., Skocir, P., & Kusek, M. (2018). Agent-based approach for energy-efficient IoT services discovery and management. In KES international symposium on agent and multi-agent systems: technologies and applications (pp 57–66). Springer, Cham.
51.
Zurück zum Zitat Sasirekha, S., Swamynathan, S., & Keerthana, S. (2017). A generic context-aware service discovery architecture for IoT services. In International conference on intelligent information technologies (pp. 273–283). Springer, Singapore. Sasirekha, S., Swamynathan, S., & Keerthana, S. (2017). A generic context-aware service discovery architecture for IoT services. In International conference on intelligent information technologies (pp. 273–283). Springer, Singapore.
52.
Zurück zum Zitat Gomes, P., Cavalcante, E., Batista, T., Taconet, C., Conan, D., Chabridon, S., et al. (2019). A semantic-based discovery service for the Internet of Things. Journal of Internet Services and Applications, 10(1), 1–14.CrossRef Gomes, P., Cavalcante, E., Batista, T., Taconet, C., Conan, D., Chabridon, S., et al. (2019). A semantic-based discovery service for the Internet of Things. Journal of Internet Services and Applications, 10(1), 1–14.CrossRef
53.
Zurück zum Zitat Antonini, M., Cirani, S., Ferrari, G., Medagliani, P., Picone, M., & Veltri, L. (2014). Lightweight multicast forwarding for service discovery in low-power IoT networks. In 2014 22nd International conference on software, telecommunications and computer networks (SoftCOM) (pp. 133–138). IEEE. Antonini, M., Cirani, S., Ferrari, G., Medagliani, P., Picone, M., & Veltri, L. (2014). Lightweight multicast forwarding for service discovery in low-power IoT networks. In 2014 22nd International conference on software, telecommunications and computer networks (SoftCOM) (pp. 133–138). IEEE.
55.
Zurück zum Zitat Fredj, S. B., Boussard, M., Kofman, D., & Noirie, L. (2014). Efficient semantic-based IoT service discovery mechanism for dynamic environments. In 2014 IEEE 25th annual international symposium on personal, indoor, and mobile radio communication (PIMRC) (pp. 2088–2092). IEEE. https://doi.org/10.1109/PIMRC.2014.7136516 Fredj, S. B., Boussard, M., Kofman, D., & Noirie, L. (2014). Efficient semantic-based IoT service discovery mechanism for dynamic environments. In 2014 IEEE 25th annual international symposium on personal, indoor, and mobile radio communication (PIMRC) (pp. 2088–2092). IEEE. https://​doi.​org/​10.​1109/​PIMRC.​2014.​7136516
56.
Zurück zum Zitat Helal, R., & ElMougy, A. (2015). An energy-efficient service discovery protocol for the IoT based on a multi-tier WSN architecture. In 2015 IEEE 40th Local Computer Networks Conference Workshops (LCN Workshops) (pp. 862–869). IEEE. Helal, R., & ElMougy, A. (2015). An energy-efficient service discovery protocol for the IoT based on a multi-tier WSN architecture. In 2015 IEEE 40th Local Computer Networks Conference Workshops (LCN Workshops) (pp. 862–869). IEEE.
57.
Zurück zum Zitat Li, J., Zaman, N., & Li, H. (2015). A decentralized locality-preserving context-aware service discovery framework for internet of things. In 2015 IEEE International Conference on Services Computing (pp. 317–323). IEEE. Li, J., Zaman, N., & Li, H. (2015). A decentralized locality-preserving context-aware service discovery framework for internet of things. In 2015 IEEE International Conference on Services Computing (pp. 317–323). IEEE.
58.
Zurück zum Zitat Rapti, E., Houstis, C., Houstis, E., & Karageorgos, A. (2016). A bio-inspired service discovery and selection approach for IoT applications. In 2016 IEEE international conference on services computing (SCC) (pp. 868–871). IEEE. https://doi.org/10.1109/SCC.2016.126 Rapti, E., Houstis, C., Houstis, E., & Karageorgos, A. (2016). A bio-inspired service discovery and selection approach for IoT applications. In 2016 IEEE international conference on services computing (SCC) (pp. 868–871). IEEE. https://​doi.​org/​10.​1109/​SCC.​2016.​126
59.
60.
Zurück zum Zitat Albalas, F., Mardini, W., & Al-Soud, M. (2017). Aft: Adaptive fibonacci-based tuning protocol for service and resource discovery in the internet of things. In 2017 Second international conference on fog and mobile edge computing (FMEC) (pp. 177–182). IEEE. Albalas, F., Mardini, W., & Al-Soud, M. (2017). Aft: Adaptive fibonacci-based tuning protocol for service and resource discovery in the internet of things. In 2017 Second international conference on fog and mobile edge computing (FMEC) (pp. 177–182). IEEE.
62.
Zurück zum Zitat Moeini, H., Yen, I. L., & Bastani, F. (2017). Routing in IoT network for dynamic service discovery. In 2017 IEEE 23rd international conference on parallel and distributed systems (ICPADS) (pp. 360–367). IEEE. Moeini, H., Yen, I. L., & Bastani, F. (2017). Routing in IoT network for dynamic service discovery. In 2017 IEEE 23rd international conference on parallel and distributed systems (ICPADS) (pp. 360–367). IEEE.
63.
Zurück zum Zitat Moeini, H., Yen, I. L., & Bastani, F. (2019). Service specification and discovery in IoT networks. In: Proceedings: 2019 IEEE International Conference on Web Services, ICWS 2019—Part of the 2019 IEEE World Congress on Services. (pp. 55–59). IEEE. Moeini, H., Yen, I. L., & Bastani, F. (2019). Service specification and discovery in IoT networks. In: Proceedings: 2019 IEEE International Conference on Web Services, ICWS 2019—Part of the 2019 IEEE World Congress on Services. (pp. 55–59). IEEE.
66.
Zurück zum Zitat Pattar, S., Kulkarni, D. S., Vala, D., Buyya, R., Venugopal, K. R., Iyengar, S. S., & Patnaik, L. M. (2019). Progressive search algorithm for service discovery in an IoT ecosystem. In 2019 international conference on Internet of Things (iThings) and IEEE green computing and communications (GreenCom) and IEEE cyber, physical and social computing (CPSCom) and IEEE smart data (SmartData) (pp. 1041–1048). IEEE. Pattar, S., Kulkarni, D. S., Vala, D., Buyya, R., Venugopal, K. R., Iyengar, S. S., & Patnaik, L. M. (2019). Progressive search algorithm for service discovery in an IoT ecosystem. In 2019 international conference on Internet of Things (iThings) and IEEE green computing and communications (GreenCom) and IEEE cyber, physical and social computing (CPSCom) and IEEE smart data (SmartData) (pp. 1041–1048). IEEE.
69.
Zurück zum Zitat Zhou, S., Lin, K. J., Na, J., Chuang, C. C., & Shih, C. S. (2015). Supporting service adaptation in fault tolerant internet of things. In 2015 IEEE 8th International conference on service-oriented computing and applications (SOCA) (pp. 65–72). IEEE. Zhou, S., Lin, K. J., Na, J., Chuang, C. C., & Shih, C. S. (2015). Supporting service adaptation in fault tolerant internet of things. In 2015 IEEE 8th International conference on service-oriented computing and applications (SOCA) (pp. 65–72). IEEE.
72.
Zurück zum Zitat Stergiou, C. L., Plageras, A. P., Psannis, K. E., & Gupta, B. B. (2020). Secure machine learning scenario from big data in cloud computing via internet of things network. In Handbook of computer networks and cyber security (pp. 525–554). Springer, Cham. Stergiou, C. L., Plageras, A. P., Psannis, K. E., & Gupta, B. B. (2020). Secure machine learning scenario from big data in cloud computing via internet of things network. In Handbook of computer networks and cyber security (pp. 525–554). Springer, Cham.
73.
Zurück zum Zitat Baltazar, S., Amaral, A., Barreto, L., Silva, J. P., & Gonçalves, L. (2020). The future of mobility as a service (MaaS): Driving through the internet of mobility (IoM). In Implications of mobility as a service (MaaS) in urban and rural environments: Emerging research and opportunities (pp. 247–272). IGI Global. Baltazar, S., Amaral, A., Barreto, L., Silva, J. P., & Gonçalves, L. (2020). The future of mobility as a service (MaaS): Driving through the internet of mobility (IoM). In Implications of mobility as a service (MaaS) in urban and rural environments: Emerging research and opportunities (pp. 247–272). IGI Global.
76.
Zurück zum Zitat Ciuonzo, D., Gelli, G., Pescapé, A., & Verde, F. (2019). Decision fusion rules in ambient backscatter wireless sensor networks. In 2019 IEEE 30th annual international symposium on personal, indoor and mobile radio communications (PIMRC) (pp. 1–6). IEEE. Ciuonzo, D., Gelli, G., Pescapé, A., & Verde, F. (2019). Decision fusion rules in ambient backscatter wireless sensor networks. In 2019 IEEE 30th annual international symposium on personal, indoor and mobile radio communications (PIMRC) (pp. 1–6). IEEE.
77.
Zurück zum Zitat Mirjalili, S. (2015). Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm. Knowledge-Based Syst., 89, 228–249.CrossRef Mirjalili, S. (2015). Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm. Knowledge-Based Syst., 89, 228–249.CrossRef
78.
Zurück zum Zitat Mirjalili, S., & Lewis, A. (2016). The whale optimization algorithm. Advances in Engineering Software, 95, 51–67.CrossRef Mirjalili, S., & Lewis, A. (2016). The whale optimization algorithm. Advances in Engineering Software, 95, 51–67.CrossRef
80.
Zurück zum Zitat Mirjalili, S. (2015). The ant lion optimizer. Advances in Engineering Software, 83, 80–98.CrossRef Mirjalili, S. (2015). The ant lion optimizer. Advances in Engineering Software, 83, 80–98.CrossRef
Metadaten
Titel
Service discovery in the Internet of Things: review of current trends and research challenges
verfasst von
Behrouz Pourghebleh
Vahideh Hayyolalam
Amir Aghaei Anvigh
Publikationsdatum
24.06.2020
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 7/2020
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-020-02405-0

Weitere Artikel der Ausgabe 7/2020

Wireless Networks 7/2020 Zur Ausgabe

Neuer Inhalt