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The proposed mechanism is composed of proactive and reactive method to form a hybrid routing protocol, and the major essence is the DSR on-demand routing.
In [3] a reactive approach is introduced, while in [4] the reactive method presented is only applied for a straight line.
If there is no such a stable route, the node tries to find a new path to the desired destination using reactive method.
This paper focuses on the generalization of a reactive method - Nearness Diagram Navigation - to work over a fleet of geometric, kinematic, and dynamic constrained indoor/outdoor mobile robots.
Proposals for this technique include using a proactive method and a reactive method to determine when to provision resources over a long time-scale (hours and days) and a short time-scale respectively.
In fact, an important advantage of using GREENIE is that it provides an efficient hybrid search method so that each node first searches a stable route using the proactive method and then non-stable routes using the reactive method.
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As size, complexity and numbers of interconnections grow, so do the vulnerabilities of the system as a whole - which can simply no longer be addressed by the industry's traditional reactive methods.
Sonar-based methods can also be seen as reactive methods.
The previous session reconstruction approaches can be categorized as proactive and reactive methods [26].
Integrating reactive methods with deliberate reasoning and planning may be enabled in future by treating intentions and actions arrived at by reactive methods as tentative, to be verified and potentially modified by more deliberate reasoning if time permits.
Based on the route discovery, the routing methods are categorized into Proactive and Reactive methods.
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