Evolving Optimal Response Time and Synchronized Communication on Integrating Fuzzy Logic Using Infrared Sensor and Sound Detecting Sensor in WSN

摘要

Response time plays a vital role in providing an on-demand service to the occurrences of possible critical events. This paper deals with the optimization of response time in the critical environment. For such an environment, Wireless Sensor Network (WSN) is found to be most advancedand highly adaptable communication technology. Sensor nodes in the network require low cost computational and supportive technique for intelligent decision making to the uncertain critical events. Thus, we applied an idea of incorporating fuzzy logic concept in the wireless sensor networkto increase the system performance and to optimize the response time. Moreover, the computational and executive styles of fuzzy logic are simple and are well supported by WSN nodes. In this paper, we utilized the WSN based coconut grove monitoring system against monkeys' encroachment as areal-time case study to analyze and evolve an optimal response time in synchronized communication. The results of the case-study showed ameliorative significance to the field farmers, especially regarding higher yielding.