QoS mapping from user to network requirements in WMSN: A fuzzy logic based approach

Wireless Multimedia Sensor Networks (WMSNs) are resource constrained (compared to the requirement of video communication), where the sensor nodes have limited bandwidth, energy, processing power and memory. Resource mapping is required in such networks, which is based on user requirements to offer better communication services as well as to use optimal resources. This paper proposes Mamdani's fuzzy inference system (FIS) to map the user requirement to resource demands by considering video/image. The input fuzzy parameters used are: available node energy, available bandwidth, and user quality needs. Output fuzzy parameter is frames to be transmitted per second (fps). By using ‘fps’ and the resolution of an image, the sensor node computes bandwidth and buffer requirements. The various defuzzification methods: centroid, smallest of maximum, and mean of maximum are used to get the response from the fuzzy inference system, and later they are compared.