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A Nonlinear Strategy Management Approach in Software-Defined Ad hoc Network

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Book cover Design Frameworks for Wireless Networks

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 82))

Abstract

Software-Defined Networking (SDN) is a growing architecture of the modern era due to the programmable abstraction instead of consuming more hardware. It is frequently used in the ad hoc network due to its speciality of infrastructure-less feature. Although, it is adaptable, manageable and cost-effective. However, it has several limitations like limited battery capacity of the nodes, variations of devices, unpredictable and linguistic requirements of the users. These limitations cause different types of uncertainties and imprecisions in the Software-Defined Ad hoc Network (SDANET) at the time of transaction. In response to this, the proposed work is designed for efficient path using some techniques such as nonlinear formulation, fuzzy logic, and game theory. The game theory method is used to establish relationships among dynamic nodes as players in cooperative as well as noncooperative manners. The nonlinear programming is used to estimate uncertainty in the parameters whereas fuzzy logic is used to fulfill the linguistic requirements of the players by making actual goal as imprecise goal. The combination of stated combined technique is known as nonlinear fuzzy game theory which is used to model the recognition of uncertainty and imprecise knowledge efficiently. The simulation and mathematical analysis of the proposed model are done in the LINGO optimization software. The simulation of the proposed work is validated with two existing methods and showed that outcomes of the proposed model are much better than the existing two methods in term of network metrics.

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Correspondence to Santosh Kumar Das .

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Das, S.K., Tripathi, S. (2020). A Nonlinear Strategy Management Approach in Software-Defined Ad hoc Network. In: Das, S., Samanta, S., Dey, N., Kumar, R. (eds) Design Frameworks for Wireless Networks. Lecture Notes in Networks and Systems, vol 82. Springer, Singapore. https://doi.org/10.1007/978-981-13-9574-1_14

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  • DOI: https://doi.org/10.1007/978-981-13-9574-1_14

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