Query Localization Using Pheromone Trails: a Swarm Intelligence Inspired Approach
نویسندگان
چکیده
Query Localization is a recently proposed extension for On-Demand Routing Protocols which reduces overheads of route discovery by restricting the query flood to the vicinity of previously discovered routes. In order to effectively define the request zone in Query Localization, the past connectivity information needs to be utilized to the fullest extent. In this paper we propose a swarm intelligence inspired query localization mechanism which tries to effectively harvest the connectivity information gleaned from previous route discoveries in on-demand routing protocols to restrict query flooding.
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