Exploiting unknown dynamics in communications amongst coexisting wireless body area networks

© 2015 IEEE. In this paper, we propose a prediction algorithm for dynamic channel allocation amongst coexisting Wireless body area networks (WBANs). Variations in channel assignment due to mobility scenarios within each WBAN as well as the movement of WBANs towards each other is investigated. The proposed scheme is further optimized to allocate the optimum transmission time with synchronous and parallel transmissions such that interference is fully avoided. This reduces the number of interfering nodes and leads to better usage of the scarce limitation of resources in these networks, larger network lifetime, higher energy savings and higher throughput. In fact, the aim of this protocol is to mitigate interference along with maintaining minimum power consumption in order to maximize network lifetime and increase the spatial reuse and throughput of each WBAN. Simulation results show that our approach achieves a much higher spatial reuse using the smart spectrum allocation scheme for interference mitigation in collocated WBANs. We conduct extensive simulations for coexistence prediction in different mobility scenarios using the NS-2 simulator. Consequently, we demonstrate the efficiency of the proposed protocol in providing interference-free channel assignments and higher energy savings

An Optimization Model for Appraising Intrusion-Detection Systems for Network Security Communications:Applications, Challenges, and Solutions

Cyber-attacks are getting increasingly complex, and as a result, the functional concerns of intrusion-detection systems (IDSs) are becoming increasingly difficult to resolve. The credibility of security services, such as privacy preservation, authenticity, and accessibility, may be jeopardized if breaches are not detected. Different organizations currently utilize a variety of tactics, strategies, and technology to protect the systems’ credibility in order to combat these dangers. Safeguarding approaches include establishing rules and procedures, developing user awareness, deploying firewall and verification systems, regulating system access, and forming computer-issue management groups. The effectiveness of intrusion-detection systems is not sufficiently recognized. IDS is used in businesses to examine possibly harmful tendencies occurring in technological environments. Determining an effective IDS is a complex task for organizations that require consideration of many key criteria and their sub-aspects. To deal with these multiple and interrelated criteria and their sub-aspects, a multi-criteria decision-making (MCMD) approach was applied. These criteria and their sub-aspects can also include some ambiguity and uncertainty, and thus they were treated using q-rung orthopair fuzzy sets (q-ROFS) and q-rung orthopair fuzzy numbers (q-ROFNs). Additionally, the problem of combining expert and specialist opinions was dealt with using the q-rung orthopair fuzzy weighted geometric (q-ROFWG). Initially, the entropy method was applied to assess the priorities of the key criteria and their sub-aspects. Then, the combined compromised solution (CoCoSo) method was applied to evaluate six IDSs according to their effectiveness and reliability. Afterward, comparative and sensitivity analyses were performed to confirm the stability, reliability, and performance of the proposed approach. The findings indicate that most of the IDSs appear to be systems with high potential. According to the results, Suricata is the best IDS that relies on multi-threading performance

Mobility Model for Contact-Aware Data Offloading Through Train-to-Train Communications in Rail Networks

In this paper, we propose a novel mobility model providing train traffic traces essential for train-to-train communication models. As the proposed mobility model works only based on trip timetables and train timetables are currently available in real-time, the produced mobility traces will be also in real-time. Additionally, as no GPS module is used in this method, our proposed model can provide a practical solution when signal from GPS or Assisted GPS is poor or unavailable such as in urban area or inside tunnels. Furthermore, as we used an energy optimization function, the proposed mobility model will provide a guidance trajectory for trains to have an energy-optimized operation. We also develop an algorithm that can determine the specifications of contacts between trains based on the traffic traces obtained from the mobility model. Such specifications includes duration, rate and location of train contacts used for estimation of data exchange capacity between trains through train-to-train communications. We validate our proposed model using data collected from Sydney Trains of Australia. The results obtained from our proposed model show over 98 percent accuracy in comparison with the real data collected via a GPS module from Sydney Trains

Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services

Artificial Intelligence-Generated Content (AIGC) is an automated method for generating, manipulating, and modifying valuable and diverse data using AI algorithms creatively. This survey paper focuses on the deployment of AIGC applications, e.g., ChatGPT and Dall-E, at mobile edge networks, namely mobile AIGC networks, that provide personalized and customized AIGC services in real time while maintaining user privacy. We begin by introducing the background and fundamentals of generative models and the lifecycle of AIGC services at mobile AIGC networks, which includes data collection, training, finetuning, inference, and product management. We then discuss the collaborative cloud-edge-mobile infrastructure and technologies required to support AIGC services and enable users to access AIGC at mobile edge networks. Furthermore, we explore AIGCdriven creative applications and use cases for mobile AIGC networks. Additionally, we discuss the implementation, security, and privacy challenges of deploying mobile AIGC networks. Finally, we highlight some future research directions and open issues for the full realization of mobile AIGC networks

Internet of Things 2.0: Concepts, Applications, and Future Directions

Applications and technologies of the Internet of Things are in high demand with the increase of network devices. With the development of technologies such as 5G, machine learning, edge computing, and Industry 4.0, the Internet of Things has evolved. This survey article discusses the evolution of the Internet of Things and presents the vision for Internet of Things 2.0. The Internet of Things 2.0 development is discussed across seven major fields. These fields are machine learning intelligence, mission critical communication, scalability, energy harvesting-based energy sustainability, interoperability, user friendly IoT, and security. Other than these major fields, the architectural development of the Internet of Things and major types of applications are also reviewed. Finally, this article ends with the vision and current limitations of the Internet of Things in future network environments

Comparison of physicochemical Concepts of Emu oil with Cosmetic creams

Background and Objectives: Emu oil is a valuable source for the production of cosmetics or for food is used as edible oil. However, there is little information about the properties of this oil. Material and Methods: In this study, using a fusion of wet fat ostrich oil is extracted and then some physicochemical properties (Yiddish value, saponification value, melting point, refractive index, specific gravity, and color) were studied. Results: The results showed that the physicochemical characteristics of ostrich oil Yiddish value, saponification value, melting point (softening of oil), the refractive index and density, respectively, 70.64+ 0.2 , 184+2.5 +, 31+1.5, 1.46+0.02, 0.9, color, yellow Lavyband cell size is 1 inch. In addition, the amount of free fatty acids and oil refining need not be separated and the separated oil can be used as a base in cosmetic products. Conclusion: separated ostrich oil can be used as a base in cosmetic products

Factors Affecting the Formation of Change in Land Use in the Mazandaran Province: A Case Study of Tonekabon

Introduction: Land use in the overall concept is said to be the type of using land in the current situation which contains all users in different sectors of agriculture, natural resources and the industry. Protecting land use is as follows: “Prevent the change of application of certain lands by their owners, if their change has negative natural, economic, political, cultural, or scientific effects”. Change of application of land is certainly the most important factor that will affect the protection of natural ecosystems. Thus, it is imperative to consider the importance of land use change from the perspective of environmental, economic, social and finally, its important aspects such as food security and the lack of planning for its realization and the changes that occur in these sectors.Factors affecting the development of land use change should be considered to finally be able to apply appropriate policies and strategic principles to reduce its negative effects. Materials and Methods:Thestudy’s data and information were obtained by simple random sampling and through interviews and 60 questionnaires that were completed by farmers and rice farmers of Tonekabon city that all or part of their land use had been changed and the datahadbeen collected in 2012. For investigating the factors affecting agricultural land use changes, the Tobit model of Heckman’s two-step was used. In this paper, the relationship between the factors that influence decision to change land use and actions to land use change were investigated. The variables including family size, literacy, experience, number of garden plots, citrus cultivation, kiwi cultivation, the price per square meter of garden land, the price per kilograms of horticultural crops (citrus), the price per kilograms of horticultural products (kiwi), number of pieces of agricultural land, cultivated level, the price per kilograms of crop, the price per square meter of agricultural land, satisfaction of supporting institutions and garden and agricultural insurance were used in this study. Results and Discussion: The estimated Probit model’s marginal effects showed that the variables of literacy, experience, citrus and kiwi cultivation, number of garden plots, the price per kilograms of horticultural products (kiwi), cultivated level, and the price per square meter of agricultural land have been positive signs that indicate a positive impact of these variables on the decision to change the use of land. The estimated linear regression model showed that the variables of number of garden plots, citrus cultivation, kiwi cultivation, the price per kilograms of horticultural crops (citrus), number of pieces of agricultural land, cultivated level and garden and agricultural insurance have been positive signs that indicate the positive impact of these variables on the action to change the use of land. Due to significant coefficients of the quantitative variables that influence the rate of change in land use, cultivation of citrus fruits is dedicated to most positive effects. As well, satisfaction of supporting institutions also has the most negative role as a dummy variable. Conclusion: The issues of land use change, prevention of land destruction and preservation of land, are of the main challenges in recent years. In this paper, we investigated the factors affecting change in land use by using a survey of 60 farmers in Tonekabon and the two-step Tobit model (Heckman) in 2012.The result of the Probit model showed that literacy levels, experience, number ofhorticulturalland pieces, area of citrusandkiwi,the price ofhorticultural products(kiwi), crop area and price ofland hada positive effect andhouseholdsize, price ofhorticultural land, price ofhorticultural products(citrus), number ofagricultural land price, and averageprice ofcrop, the satisfaction level of support in situations, horticultural and agricultural insurance had negative effects on thedecisionofchanging agriculturallandtohorticultural. Also, the results of the second stage Tobit regressi on model showed that the number of horticulturalland price, area of kiwi and citrus, price of horticultural products (citrus), pieces of agricultural land and crop area, price of land and horticulturalcropinsurance hada positive effect on householdsize,literacy levels, experience, price ofhorticultural products(kiwi), and price ofcrops and satisfaction level ofsupportinstitutions had a negative effect on thelevel ofchanging in land use. According to the findings, creation of expansion in surance for coverage of small farmers, preventing price volatility horticultural and agricultural products, paying attention to agricultural production asstrategic products and supporting the operation of this sector in a package is suggested