A Self-Adaptive Service Discovery Approach in Mobile Ad Hoc Networks

Mobile ad hoc networks (MANETs) are receiving more and more attention for the extensive field of applications. However, due to the topology dynamic and limitations on resources, the discovery of services is a challenging issue in MANETs. Without considering the different utilization rates of discovered services during executing, existing solutions mostly focus on a maximized service discovery rate, which incurs the unnecessary overhead of discovering superfluous services. This paper presents a novel self-adaptive service discovery approach (SSD) in MANETs. The SSD approach avoids searching relatively useless services by self-adaptively restricting the range of service discovery. Simulation results show that the SSD approach reduces by about 40 percent of the network traffic load and by about 50 percent of the average response time.

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