Chandigarh University

About: Chandigarh University is a education organization based out in Mohali, India. It is known for research contribution in the topics: Materials science & Computer science. The organization has 1358 authors who have published 2104 publications receiving 10050 citations.

Bloom Filter Based Efficient Caching Scheme for Content Distribution in Vehicular Networks

Abstract: With the progression of Internet of Things (IoT), the number of connected vehicles in smart cities have shown an exponential growth. In order to enable fast data transfer, these vehicles communicate with each other and the roadside units. However, the data generated by these connected vehicles has overwhelming increased in recent times, which in turn overloads the traditional host-centric approach. For this reason, vehicular content-centric networking (VCCN) has emerged as a revolution, which provides efficient content distribution among vehicles. However, cache management is one of the most important aspects, which needs to be handled effectively. Therefore, in this paper, a bloom filter-based cache management scheme is proposed to enhance the performance of data transfer between smart connected vehicles. This algorithm uses the functionality of cache in vehicles to enable cooperative content distribution. The evaluation of bloom filter-based cache management scheme shows that the bloom filter reduces the search time in contrast to other data structures, which in turn increases the efficiency of retrieval from cache. The simulation results show that the proposed scheme achieves faster retrieval time and an efficient allotment system for helper vehicles in a smart city environment.

RSM-Based Optimization of the Parameters Affecting TiO2-Mediated UV Photocatalysis of Vehicular Emissions in Enclosed Parking Garages

Abstract: In the preceding times, the number of enclosed parking garages has increased significantly in developing nations. The toxic emissions from vehicular exhausts are expected to drastically compromise the environmental conditions of the parking garages. Subsequently, exposure of humans to these accumulated pollutants is also expected to degrade their health. Therefore, in the present investigation, efforts were made to estimate the applicability of TiO2-mediated UV photocatalysis in degrading the concentration of vehicular emissions, viz., NOx and SO2, in the enclosed parking garages (EPGs). In this regard, an artificial EPGs’ environment was created and experiments were designed using the Box-Behnken design in combination with response surface methodology. The process parameters chosen for maximizing the degradation of the pollutants were a concentration of TiO2 emulsion (20 to 120 ml/m2), UV irradiance (1 to 5 mW/cm2), and relative humidity (10 to 50%). Optimization of the laboratory experiments revealed that at optimal conditions of the process parameters, i.e., a concentration of TiO2 emulsion = 77.50 ml / m 2 , intensity of UV irradiance = 3 mW / c m 2 , and relative humidity = 43.2 % , maximum degradation of the NOx and SO2, i.e., 61.24% and 55.05%, respectively, was achieved. Further, it was revealed that relative humidity may prove to be the limiting factor while using the TiO2-mediated UV photocatalysis in humid areas. Findings of this study may prove beneficial in urban planning as it may assist scientific auditory and local authorities in identifying the applicability of TiO2-based photocatalysis in mitigating the impacts of vehicular emissions.