The Performance Analysis of Low Latency Queueing Scheduling Algorithm for MANETs
2023
Delay is a major Quality of Service (QoS) metric in Mission Critical Applications and some of these include health, vehicle and inspection safety applications.Some of such applications run on Mobile Ad Hoc Network (MANET) set ups which comes with transmission challenges arising from the size of traffic packets, environmental conditions and others.These challenges cause transmission delays, packet loss and hence a degraded network performance.In this article we study a Low Latency Queueing (LLQ) Scheduling Algorithm that makes use of three priority queues each transmitting voice, video and text packets.For the purposes of improving delay performance piggy backing off video packets on voice transmission is used.The LLQ model is developed under two scenarios as follows: (I) when voice packet is delayed once and piggybacked with video on transmission.(II) when voice packet is delayed only if there is a partial video packet being transmitted.During scheduling of traffic voice packets are combined with the partial video packet.We investigate the performance variation of the LLQ in an M/G/1 queue under different scenarios and under two service distributions namely: Exponential and Bounded Pareto (BP).The numerical results for the first scenario revealed that the video packets experienced the least conditional mean response time/conditional mean slowdown, followed by voice and least were text packets under LLQ Algorithm.While for second scenario, it was observed that voice packets experienced the least conditional mean response time/conditional mean slowdown, followed by video packets and then text packets in that order under LLQ Algorithm.