Abstract
The spatial routing has been breaking down for some issues of traffic systems, and there are numerous methodologies has been communicated about for the effect of route selection and travel time expectation, but suffer from the exactness and time complicated issues. We propose a novel approach which performs spatial routing of routes utilizing which a single path will be chosen. The proposed technique keeps up log about the traffic design at each time window for every base station focuses. We assess the traffic design at every connection point at each time outline utilizing which the route traffic factor will be assumed for each route accessible for different goal from a beginning stage. The strategy keeps up various data about the routing system like the quantity of connection focuses, some concerns at every connection point and the separation between the links concentrates, and the amount of nodes goes through the network. Every one of these components is utilized to process the traffic factor at specific traffic channel any period. Given listed traffic factor, we prepare the movement time in every way at various time window to choose the single route to achieve any destination in the network. The proposed approach has created productive outcomes in route choice and travel time expectation.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Change history
19 May 2022
This article has been retracted. Please see the Retraction Notice for more detail: https://doi.org/10.1007/s12652-022-03928-4
References
Beraldi R, Querzoni L, Baldoni R (2005) A hint-based probabilistic protocol for unicast communications in MANETs. In: Proc. of IEEE 11th international conference on parallel and distributed systems (ICPADS'05).
Bhatsangave P, Chirchi VR (2012) OAODV routing algorithm for improving energy efficiency in MANET. Int J Comput Appl 51(21):15–22
Bozorgi M, Farasat M, Mahmoud A (2017) A time and energy efficient routing algorithm for electric vehicles based on historical driving data. IEEE Trans Intell Veh 2(4):308–320
Braginsky D, Estrin D (2002) Rumor routing algorithm for sensor networks. In: Proceedings of first ACM international workshop on WSNs and applications (WSNA), Atlanta, pp 22–31
Chaudhary V, Patel U, Kumar R (2012) AODV-MBR: a new routing protocol with modified backup approach. In: ICIP 2012, CCIS, vol 292. Springer, pp 66–73
Chen C, Zhu S, Guan X (2014) Consensus-based optimal target tracking in relay assisted wireless sensor networks, ambient intelligence and humanized computing
Dwivedi DK, Kosta A, Yadav A (2013) Implementation and performance evaluation of an energy constraint AODV routing. Int J Sci Mod Eng 1(3):59–62
Feng G, Makki K, Pissinou N, Douligeris C (2002) Heuristic and exact algorithms for QoS routing with multiple constraints. IEICE Trans Commun 85(12):2838–2850
Guofu Y (2012) Overview of multicast routing based on intelligence optimization algorithm. Adv Inf Sci Serv Sci 4:280–288
Julia M (2016) An adaptive edge router enabling internet of things. IEEE Internet Things J 3(6):1061–1069
Kumar N, Dash D (2019) Flow based efficient data gathering in wireless sensor network using path-constrained mobile sink. J Ambient Intell Hum Comput 10:1–13. https://doi.org/10.1007/s12652-019-01245-x
Li C, Modiano E (2015) Receiver-based flow control for networks in overload. IEEE/ACM Trans Netw 23(2):616–630
Liu L, Zhu L, Lin L, Wu Q (2012) Improvement of AODV routing protocol with QoS support in wireless mesh networks. Int Conf Solid State Devices Mater Sci 25:1133–1140
Liu Y, Chen Q, Tang X, Cai LX (2017) On the buffer energy-aware adaptive relaying in multiple relay network. IEEE Trans Wirel Commun 16(9):6248–6263
Mangrulkar RS, Chavan PV, Dagadkar SN (2010) Improving route selection mechanism using trust factor in AODV routing protocol for MaNeT. Int J Comput Appl 7(10):36–39
Ping W, Bingcai C, Xuemai G, Gongliang L (2008) Multi-constraint quality of service routing algorithm for dynamic topology networks. IEEE J Syst Eng Electron 19(1):58–64
Rosati L, Berioli M, Reali G (2008) On ant routing algorithms in ad hoc networks with critical connectivity. Ad Hoc Netw 6(6):827–859
Song C, Liu M, Cao J, Zheng Y (2009) Maximizing network lifetime based on transmission range adjustment in wireless sensor networks. Comput Commun J 32(11):13161325
Vinoth Kumar S, Asokan R (2012) Improving the quality of service based on route stability in MANETs Using dynamic source routing protocol. In: IEEE, vol 19, issue 4
Wang Y-C, Hsieh S-Y (2015) QoS-provisioning downlink resource management in 4G cellular systems. In: IEEE, vol 3, issue 12
Yadav MK, Khola RK, Dembla D (2012) Modeling, analysis & implementation of improved AODV routing protocol in MANETs. Int J Comput Appl 41(21):22–26
Zhou Y, Zhuang W (2015) Throughput analysis of cooperative communication in wireless ad hoc networks with frequency reuse. IEEE Trans Wirel Commun 14(1):205–218
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s12652-022-03928-4
About this article
Cite this article
Thilagavathy, D. RETRACTED ARTICLE: Route optimization for efficient data transmission using time desire strategy in wireless network. J Ambient Intell Human Comput 12, 4247–4253 (2021). https://doi.org/10.1007/s12652-020-01819-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12652-020-01819-0