&ldquo;IIT Jodhpur is committed to impart quality education to facilitate the creation of qualified, competent and responsible human resources to meet the emerging technological challenges of the world. It is working towards creating an equitable learning platform that is positive, accessible and effective in the face of the modern societal and scientific advancements.

Flexibility in curriculum, in all its academic programs, encompassing elements of teaching, research, creativity, innovation and entrepreneurship is the most unique feature of IIT Jodhpur. The Department of Science and Technology (DST), under the National Mission on Cyber Physical Systems, has identified IIT Jodhpur as a Technology &amp; Innovation Hub in the area of Augmented Reality and Virtual Reality. The institute has also been nominated as the coordinator for the Jodhpur City and Knowledge Cluster by the Office of Principal Scientific Adviser, Government of India.

The sprawling 852-acre IIT Jodhpur campus is a majestic tribute to the deep-rooted diverse cultural heritage of the region. The campus is an architectural masterpiece, which is slated to become an international exemplar of sustainability with net-zero energy, and advanced water and waste management strategies.&rdquo;

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Trust plays a crucial role in establishing and retaining relationships. Sociopsychological analysis identifies three major constructs, such as ability, benevolence and integrity, upon which trust is being built up. On a similar note, in a Wireless Sensor Network (WSN), it is indispensable to have trust among nodes since nodes collectively sense physical parameters and send them to the base station. The nodes, however, can behave fraudulently and send bad information, mostly due to hardware and software faults. Taking inspiration from the sociopsychological account, the present paper introduces a novel model for computing trust of sensor nodes. Additionally, the immune inspired model is suggested for removing fraudulent nodes whose trust ratings fall below the threshold. Roles of the three factors, viz. ability, benevolence and integrity, are examined in WSN domain. The proposed model proves itself to be more advantageous than other methods that adopt machine learning and neural network models in performance metrics such as detection time, reliability, scalability, efficiency and complexity. Proposed work has been implemented on LabVIEW platform and the results substantiate the reliability of the proposed mathematical model. © 2015 Elsevier Ltd. All rights reserved.