Abstract
An Obstruction Avoidance Generously Mobility (OAGM) model has been introduced for controlling ad-hoc sensor networks and thereby operating emerging fields like military and healthcare services. According to this model, the ability to send a message to a group of users simultaneously, based solely on their geographic location, is desirable by using Mission Critical Mobility model that assumes the obstacle shapes like rectangle or square in the simulation terrain. The OAGM model is developed by grasping the critical situations of military and healthcare services by incorporating the node movement model, hierarchical node organization, placement of obstacle that affect the movement of nodes and also signal propagation. Graph theory technique is used to find the shortest path of the node movement process. The varying number of parameter sets with DSR protocol is analyzed for MCM and OAGM mobility model. The results show OAGM performance is better than MCM.
Highlights
Ad-hoc sensor network is an emerging interesting topic in network communication and in particular the ad-hoc sensor network as a research topic
We present an Obstruction Avoidance Generously Mobility model (OAGM) for Ad-hoc and Sensor network
Average end to End Delay (ED): This includes all possible delays caused by buffering during route discovery latency, queuing at the interface queue, Performance analysis of proposed OAGM and Mission Critical Model (MCM) model: In Table 8 shows the Packet delivery Ratio
Summary
Ad-hoc sensor network is an emerging interesting topic in network communication and in particular the ad-hoc sensor network as a research topic. All participating users are in an ad-hoc sensor network agree to accept and forward messages, to and from each other. With this flexibility, wireless ad-hoc networks have the ability to form anywhere, at any time, as long as two or more wireless users are willing to communicate. We present an Obstruction Avoidance Generously Mobility model (OAGM) for Ad-hoc and Sensor network. The proposed model can simulate the movement pattern in an emergency and healthcare service where ad-hoc and sensor network is deployed. In the OAGM model, the node chooses the optimal path in a geographic restricted area It is the shortest path in single source cheapest path with negative cost edges. Technol., 5(9): 2799-2808, 2013 and set the parameter that set varies with the number of nodes and Speed to find the analysis
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