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The distributed tree-based data communication protocol is a widely accepted efficient method in wireless sensor network-enabled Internet of Things (IoT). Due to increasing demand for IoT applications, cognitive radio sensors play a vital role in spectrum utilization. This short communication proposes a delay aware, energy-efficient data communication protocol (DEDC) for cognitive radio sensor networks (CRSN). This research proposes a first communication protocol that integrates the solution for delay and energy issues in CRSNs specific to IoT application. The respective simulation results and comparative studies with the existing models on other parameters prove the novel contribution of this research in terms of delay and energy utilization.

The feedback obtained from users/occupants would become the primary data set to evaluate performance of any built facility. Meeting user needs, expectations and aspirations are the prime objectives of a facility provider. It becomes necessary to evaluate the built facility with respect to meeting user needs/expectations, in order to obtain right feedback during building performance evaluation. Among various methods being used to obtain user feedback, questionnaire remains the foremost and most commonly used tool. The quality of feedback and its subsequent analysis entirely depend on the robustness of the questionnaire which in turn depends on its content. Such survey instrument comprises of questions framed on various attributes of a built facility. The purpose of survey dictates the nature of questions and the attributes about which the data are collected. These attributes can be categorized into functional attributes, maintenance attributes, and societal attributes. In order to obtain the right feedback in levels of satisfaction with respect to these attributes, there is a need to have appropriate descriptors for incorporation in a survey instrument. This paper identifies attributes that indicate building performance and provides simple description of these attributes based on which items can be generated for a questionnaire. Such items can enable any user/occupant to easily understand the characteristics of these attributes and offer an objective feedback during questionnaire survey.