Abstract:

IoT is used to connect things and these things “devices” could be sensors, actuators, house appliances, smartphones, or any electronic devices. These devices are provided with sensing equipment’s and generate various readings and measurements. Keeping the number of the sensors low and at the same time implementing efficient data collection is very essential. Many different search protocols have been developed for finding resources across the network to satisfy users requests. This paper presents the results of using unstructured search algorithms for data collection generated from the sensors in IoT-Based WSN. Experiments were conducted on a WSN with 10000 sensors and assuming certain percentage of the sensors generate unexpected important readings. Four different search algorithms are used : BFS, IntBFS, DRLP and Random Walks. A comparison is made between these algorithms and experiments show that IntBFS was the best approach for data collection in IoT-Based WSN.