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Air Pollution Control Monitoring & Delivery Rate Escalated by Efficient use of Markov Process in Manet Networks: To Measure Quality of Service Parameters

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Document pages: 9 pages

Abstract: In MANET (Mobile Ad hoc Network) packet transmission is performed by the gathering of intermediate devices present between the Senders with the recipient. Efficient packet transmission involves increased throughput, less delay, and guaranteed delivery is achieved by analyzing the network performance. In the AOMDV (Ad hoc On-Demand Multipath Distance Vector) protocol, various ways are set up between sources to an objective. The best path selection is done with both having the minimum transmission time and maximize throughput. Minimum transmission time is achieved by estimating and reducing the queuing delay and processing delay. A maximum throughput estimation is done by analyzing signals and noise strength. In our proposed system QOS parameter based on best path selection in channel aware routing protocol (QBP-CAAOMDV) in MANET, Queue delay is estimated by Bayesian decision rule methodology by analyzing packet arrival rate and packet processing rate. The Hidden Markov model is used to find noise affection along the various paths. The selected best path satisfies QOS parameters such as the increased delivery rate without packet loss and reducing average delay. For example, we have implemented this algorithm-based data packet transfer in real-time data analysis like Air pollution control monitoring. To carry out air pollution monitoring over an extensive area, a combination of ground measurements through inexpensive sensors and wireless (Geographical Information System) GIS will be used for this purpose. This portable device, compressing solid-state gas sensors integrated to a Personal Digital Assistant (PDA) linked through Bluetooth communication tools and Global Positioning System (GPS), will allow rapid dissemination of information on pollution levels at multiple sites simultaneously. The AQ report generated can be then published using internet GIS to provide a real-time information service for the PCD, for increased public awareness and enhanced public participation.

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