Abstract
With millions of smart devices being integrated each day through the Internet of Things (IoT), ensuring ubiquitous computing along with pertinent security has now become more significant than ever. Generally, it is difficult to guarantee zero downtime even if the backhaul network is optimally deployed. An automated system that could predict the downtime and take suitable steps to ensure High Availability (HA) of resources could protect businesses from losing data at a critical time. Such an automated model is put forward that would guarantee zero downtime deployment without comprising the security of end devices. The emphasis is on designing an effective solution by improvising the current strategies for this deployment challenge. The proposed architecture is evaluated through numerous tests, and by visualization of the results obtained, one can mitigate the planned and unplanned downtime to ensure continuous operational efficiency of services for businesses.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Miorandi D, Sicari S, Pellegrini FD, Chlamtac I (2012) Internet of things: vision, applications and research challenges. Ad Hoc Netw 10:1497–1516
Al-Fuqaha A, Guizani M, Mohammadi M, Aledhari M, Ayyash M (2015) Internet of things: a survey on enabling technologies, protocols, and applications. IEEE Commun Surv Tutorials 17(4):2347–2376
Alcatel and British Telecommunications (2012) Wi-Fi roaming building on andsf and hotspot2.0. White Paper
Cisco Systems (2011) The future of hotspots: making Wi-Fi as secure and easy to use as cellular. White Paper
Frangoudis PA, Polyzos GC (2010) Report-based topology discovery schemes for centrally-managed Wi-Fi deployments. In: Next generation internet (NGI), 6th EURO-NF conference, pp 1–8
Roman R, Lopez J, Najera P (2011) A cross-layer approach for integrating security mechanisms in sensor networks architectures. Wirel Commun Mob Comput 11(2):267–276
Wang Y, Ren Y, Meng Y, Bai J (2017) Research on performance of three-layer MG-OXC system based on MLAG and OCDM. In: Proceedings of SPIE 10464, AOPC, 24 October 2017
IEEE 802.1AX – Link Aggregation, IEEE, 2008
Farkas J, Antal C, Westberg L, Paradisi A, Tronco T, de Oliveira V (2011) Fast failure handling in ethernet networks. IEEE Int Conf Commun 2:841–846
Irawati LD, Hariyani YS, Hadiyoso S (2017) Link aggregation control protocol on software defined network. Int J Electr Comput Eng 7(5):2706
Xiao Y et al (2010) Security services and enhancements in the IEEE 802.15.4 wireless sensor networks. In: Proceedings of the IEEE Global Telecommunications Conference (GLOBECOM ’05), November 2010
Garcia-Morchon O et al (2011) Security considerations in the IP-based Internet of Things. IETF. http://tools.ietf.org/html/draft-garcia-core-security, March 2011
Lu B, Pooch UW (2005) A lightweight authentication protocol for mobile ad hoc networks. Int J Inf Technol 11(2):119–135
Cheung MH, Huang J (2015) DAWN: delay-aware Wi-Fi offloading and network selection. IEEE J Sel Areas Commun 33(6):1214–1223
Park S, et al (2013) An analysis of replication enhancement for a high availability cluster. J Inf Process Syst 9(2):205–216
Brenner S, Garbers B, Kapitza R (2014) Adaptive and scalable high availability for infrastructure clouds. Distributed Applications and Interoperable Systems. Springer, Berlin, Heidelberg, Systems, pp 16–30
Kim H, Feamster N (2013) Improving network management with software-defined networking. Communications Magazine, IEEE 51(2):114–119
Cleveland F (2012) Enhancing the reliability and security of the information infrastructure used to manage the power system. In: IEEE PES general meeting, Tampa, 24–28 June 2012
Moreno-Vozmediano R et al (2018) Orchestrating the deployment of high availability services on multi-zone and multi-cloud scenarios. Int J Grid Utility Computing 16(1):39–53
Cziva R, Stapleton D, Tso FP, Pezaros DP (2014) SDN-based virtual machine management for cloud data centers. In: IEEE 3rd international conference on cloud networking (CloudNet), pp 388–394
Benz K, Bohnert TM (2014) Impact of pacemaker failover configuration on mean time to recovery for small cloud clusters. In: Cloud computing (CLOUD), IEEE 7th international conference on, pp 384–391
Park J, Jeong J, Jeong H, Liang C-JM, Ko J (2014) Improving the packet delivery performance for concurrent packet transmissions in WSNs. IEEE Commun Lett 18(1):58–61
Nai W, Zhang F, Yu Y, Dong D (2015) Reliability evaluation for key equipment of high-speed maglev operation and control system in uncertainty environment based on fuzzy fault tree analysis. Proceedings of MAPE Conference, Shanghai
Bulut E, Szymanski BK (2012) Wi-Fi access point deployment for efficient mobile data offloading. Proceedings of 1st ACM International Workshop on Practical Issues and Applications in Next Generation Wireless Networks (PINGEN), Turkey, pp 45–50
Wang CS, Kao LF (2012) The optimal deployment of Wi-Fi wireless access points using the genetic algorithm. In: Proceedings 6th International Conference on Genetic and Evolutionary Computing (IGCEC 2012), Kitakyushu, Japan, pp 542–545
Zhang C, Gu B, Yamori K, Xu S, Tanaka Y (2013) Duopoly competition in time-dependent pricing for improving the revenue of network service providers. IEICE Trans Commun E96-B(12):2964–2975
Wang M, et al (2016) Cellular machine-type communications: physical challenges and solutions. IEEE Wireless Commun 23(2):126–135
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Mohan, A., Seetharaman, B., Janarthanan, P. (2022). An Approach to Ensure High-Availability Deployment of IoT Devices. In: Raj, P., Dubey, A.K., Kumar, A., Rathore, P.S. (eds) Blockchain, Artificial Intelligence, and the Internet of Things. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-77637-4_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-77637-4_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-77636-7
Online ISBN: 978-3-030-77637-4
eBook Packages: EngineeringEngineering (R0)