International Journal of Internet Protocol Technology (4 papers in press)

Regular Issues

• Smart Approach To Constraint Programming: Intelligent Backtracking Using Artificial Intelligence  
  by Heng Du 
  Abstract: Constrained Programming is the concept used to select possible alternatives from constrained programming; a problem can be modelled in random terms. This paper proposes an AI-assisted Backtracking Scheme (AI-BS) by integrating the generic backtracking algorithm with Artificial Intelligence (AI). The AI-BS is an algorithm using intelligent backtracking (IB) inside a branch and bound context based on linear programming. The detailed study observes that the extreme dual ray associated with the infeasible linear program can be automatically extracted from minimum unfeasible sets. This research also explains the application of the proposed intelligent backtracking (IB) strategy using a branch-and-cut (BC) algorithm, which is named as IBBS. AI-assisted intelligent backtracking utilized to create a smart optimal schedule controller for home energy controllers to manage and optimize the energy consumptions peak hours. The AI-BS gives an optimal schedule for home appliances to limit the total load demand and schedule the domestic device\'s operations.
  Keywords: Artificial Intelligence; Backtracking; Branch-and-Bound Problem; Branch-and-cut; Constrained Programming; Smart home electricity controller.
  
  
• SVC-MST BWQLB Multicast over Software-Defined Networking  
  by Warodom Werapun, Jakapan Suaboot, Piyawit Tantisarkhornkhet, Jirawat Thaenthong 
  Abstract: This paper presents a Scalable Video Coding (SVC) system over multicast Software-Defined Networking (SDN), which focuses on, transmission management for the sender-receiver model. Our approach reduces bandwidth usage by allowing the receiver to select various video resolutions in a multicast group, which helps avoid a video freezing issue during bandwidth congestion. Moreover, the SVC Multiple Sessions Transmission Bandwidth thresholds Quantized Level Balance (SVC-MST BWQLB) routes different layers of the SVC stream using distinct paths and reduces storage space and bandwidth congestion problems in different video resolutions. The experimental results show that the proposed model provides better display quality than the traditional Open Shortest Path First (OSPF) routing technique. Furthermore, it reduced transmission delays by up to 66.64% for grouped resolutions compared to SVC-Single Session Transmission (SVCSST). Additionally, the modified Real-time Transport Protocol (RTP) header and the sorting buffer for SVC-MST are proposed to deal with the defragmentation problem.
  Keywords: Software-Defined Networking; Advanced Video Coding; Scalable Video Coding; Multicast; Multi-Session Transmission.
  DOI: 10.1504/IJIPT.2023.10058807
   
  
• An Effective Differential Privacy Protection Method of Location data Based on Perturbation Loss Constraint  
  by Haiyan Kang, Ying Li, Shasha Zhang 
  Abstract: Differential privacy is usually applied to location privacy protection scenarios, which confuses real data by adding interference noise to location points to achieve the purpose of protecting privacy. However, this method can result in a significant amount of redundant noisy data and impact the ac-curacy of the location. Considering the security and practicability of location data, an effective differ-ential privacy protection method of location data based on perturbation loss constraint is proposed. After applying the Laplace mechanism under the condition of differential privacy to perturb the loca-tion data, the Savitzky-Golay filtering technology is used to correct the data with noise, and the data with large deviation and low availability is optimized. The introduction of Savitzky-Golay filtering mechanism in differential privacy can reduce the error caused by noise data while protecting user privacy. The experiments results indicate that the scheme improves the practicability of location data and is feasible.
  Keywords: Location data; location based service; location privacy; differential privacy; Savitzky-Golay filter.
  DOI: 10.1504/IJIPT.2023.10059167
   
  
• A constant temperature control system for indoor environments in buildings using internet of things  
  by Ashokkumar N, Kavitha N.S., Lakshmi M, Ashok Vajravelu 
  Abstract: The performance of a buildings internal environment, which includes the air temperature, lighting and acoustics, is what determines the quality of the environment inside the building. We present a thermal model for achieving thermal comfort in buildings that makes use of a multimodal analytic framework as a solution to this challenge. In this study, a multimodal combination is used to evaluate several temperature and humidity sensors as well as an area image. Additionally, a CNN and LSTM combination is used to process the image and sensor data. The results show that heating setback and interior set point temperatures, as well as mechanical ventilation based on real peoples presence and CO2 levels, are all consistently reduced when ICT-driven intelligent solutions are used. The CNNLSTM model has a goodness of fit that is 0.7258 on average, which is much higher than both the CNN (0.5291) and LSTM (0.5949) models.
  Keywords: Environmental quality in an indoor setting; elderly individuals; care facilities,thermal model; CNN-LSTM; HVAC control; Opening windows.
  DOI: 10.1504/IJIPT.2023.10060176