a network model for manet nodes and actors collaboration to optimize processing in event areas
In this paper, we design a new network model for mobile ad-hoc network (MANET) nodes and actors in wireless sensor networks collaboration to optimize the processing in event areas. Distributed algorithms have been developed, consisting of two phases: set-up phase and negotiation phase. The former is based on the weighted proportional max-min fairness to initially distribute the MANET nodes over the event areas, while the latter based on the market-based technique is used to re-distribute the number of MANET nodes depending on the current and new events. We have implemented the negotiation phase of this network model in ns-2, piggybacking over optimized link-state routing (OLSR) protocol. Simulation results show that the resources of MANET nodes spending on processing events (utility) and their resources for moving to event areas (cost) converge to the Pareto optimal set (theoretical optimal solutions found by the micro-genetic algorithm).
manet actor collaboration optimization sensor