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Self-adaptive query-broadcast in wireless ad-hoc networks using fuzzy best worst method - 2021

Self-adaptive query-broadcast in wireless ad-hoc networks using fuzzy best worst method

Research Area:  Wireless Sensor Networks

Abstract:

Various broadcasting schemes have been proposed for a unified routing approach in Wireless Adhoc Networks. In their efforts, the researchers mostly aim to minimize the routing-overheads including overfilling of query, routing delay and energy-drain. The routing overheads are minimized using either repeated broadcast or canceling the query-broadcast. On one hand broadcast cancellation methods work based on query-chasing, which creates an extra routing-overhead. On the other hand routing cache based query-broadcast techniques are not adaptive with mobility of target nodes giving rise to unreachability problem. Both types of approaches pose the increased energy-drain and ultimately slow down the route-discovery . These limitations in particular, have motivated us to propose a dynamic request-zone approach for query-broadcasting based on routing-cache. In order to counter the destination unreachability problem, a combined weight metric is used, which is defined as a multi-criteria decision making problem. Later defined problem is solved to compute the weights using extended fuzzy best-worst method. Furthermore the performance of proposed approach is evaluated in terms of query-diffusion, route-latency, and energy-saving.

Keywords:  

Author(s) Name:  Naeem Ahmad & Md. Gulzarul Hasan

Journal name:  Wireless Networks

Conferrence name:  

Publisher name:  Springer

DOI:  10.1007/s11276-020-02477-y

Volume Information:  volume 27, pages 765–780 (2021)