Open AccessModelling and optimising a new hybrid ad-hoc network cooperation strategy performance using genetic algorithm
Author(s) -
Noor Jumaa Kareem,
Abbas Allawy Mohammed,
Mustafa Shubbar Safaa
Publication year - 2021
Publication title -
serbian journal of electrical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.133
H-Index - 5
eISSN - 2217-7183
pISSN - 1451-4869
DOI - 10.2298/sjee2102193j
Subject(s) - relay , computer network , wireless ad hoc network , computer science , network packet , mobile ad hoc network , genetic algorithm , throughput , population , packet forwarding , path (computing) , distributed computing , wireless , power (physics) , telecommunications , physics , demography , quantum mechanics , machine learning , sociology
The lifetime of an ad-hoc network depends on a mobile device?s limited battery capacity. In ad-hoc multi-hop communication, source nodes use intermediate nodes as a relay to communicate with remote destinations. As cooperation between nodes is restrained by their battery resources, it might not be in their best interests to always accept relay requests. Therefore, if all nodes decide how much energy to spend for relaying, selfish or non-cooperative nodes reduce cooperation by rejecting to forward packets to others, thereby leading to a dramatic drop in the network?s throughput. Three strategies have been founded to solve this problem: tit-for-tat, live-and-let-live, and selective drop. This research explored a new strategy in ad-hoc cooperation which resulted from the combination of the live-and-let-live and selective drop strategies. This new strategy is based on the suggestion to select fewer hops with a low drop percentage and sufficient power to stay alive after forwarding the data packets towards the destination or other relays at the route path. We used a genetic algorithm (GA) to optimise the cooperative problem. Moreover, the fitness equation of the GA population was designed according to the mixing of the two strategies, which resulted in a new optimized hybrid dynamic-static cooperation.