This document provides updates to IEEE Std 802.16's MIB for the MAC, PHY and asso- ciated management procedures in order to accommodate recent extensions to the standard.

IEEE Standard for Local and Metropolitan Area Networks Part 16: Air Interface for Fixed Broadband Wireless Access Systems Draft Amendment: Management Information Base Extensions

This chapter is devoted to a more detailed examination of game theory. Game theory is an important tool for analyzing strategic behavior, is concerned with how individuals make decisions when they recognize that their actions affect, and are affected by, the actions of other individuals or groups. Strategic behavior recognizes that the decision-making process is frequently mutually interdependent. Game theory is the study of the strategic behavior involving the interaction of two or more individuals, teams, or firms, usually referred to as players. Two game theoretic scenarios were examined in this chapter: Simultaneous-move and multi-stage games. In simultaneous-move games the players effectively move at the same time. A normal-form game summarizes the players, possible strategies and payoffs from alternative strategies in a simultaneous-move game. Simultaneous-move games may be either noncooperative or cooperative. In contrast to noncooperative games, players of cooperative games engage in collusive behavior. A Nash equilibrium, which is a solution to a problem in game theory, occurs when the players’ payoffs cannot be improved by changing strategies. Simultaneous-move games may be either one-shot or repeated games. One-shot games are played only once. Repeated games are games that are played more than once. Infinitely-repeated games are played over and over again without end. Finitely-repeated games are played a limited number of times. Finitely-repeated games have certain or uncertain ends.

An Introduction to Game Theory

Multiple-objective evolutionary computation provides the satellite constellation designer with an essential optimization tool due to the discontinuous, temporal, and/or nonlinear characteristics of the metrics that architectures are evaluated against. In this work, the nondominated sorting genetic algorithm 2 (NSGA-2) is used to generate sets of constellation designs (Pareto fronts) that show the tradeoff for two pairs of conflicting metrics. The first pair replicates a previously published sparse-coverage tradeoff to establish a baseline for tool development, whereas the second characterizes the conflict between temporal (revisit time) and spatial (image quality) resolution. A thorough parameter analysis is performed on the NSGA-2 for the constellation design problem so that the utility of the approach may be assessed and general guidelines for use established. The approximated Pareto fronts generated for each tradeoff are discussed, and the trends exhibited by the nondominated designs are revealed. Nomenclature a = semimajor axis, km e = eccentricity F = focal length, m i = inclination, deg K = units conversion constant M = mean anomaly, deg P = pixel size, μm e = elevation, deg ρ = range, km � = right ascension of the ascending node, deg ω = argument of perigee, deg

Satellite Constellation Design Tradeoffs Using Multiple-Objective Evolutionary Computation

This paper exploits the potential of the Genetic Algorithm to solve the cellular resource allocation problem. When a blocked host is to be allocated to a borrowable channel, a crucial decision is which neighboring cell to choose to borrow a channel. It is an optimization problem and the genetic algorithm is efficiently applied to handle this. The Genetic Algorithm, for this particular problem, is improved by introducing a new genetic operator, named pluck, that incorporates a problem-specific knowledge in population generation and leads to a better channel utilization by reducing the average blocked hosts. The pluck operator makes the crucial decision of when and which cell to borrow with the future consideration that the borrowing should not lead the network to chaos. It makes a channel borrowing decision that minimizes the number of blocked hosts and improves the long-term performance of the network. Efficacy of the proposed method has been evaluated by experimentation.

Improved genetic algorithm for channel allocation with channel borrowing in mobile computing

This paper proposes a leader–follower-based model of mobile molecular communication networks for target detection applications. The proposed model divides the application functionalities of molecular communication networks into two types of mobile bio-nanomachine: leader and follower bio-nanomachines. Leader bio-nanomachines distribute in the environment to detect a target and create an attractant gradient around the target. Follower bio-nanomachines move according to the attractant gradient established by leader bio-nanomachines; they approach the target and perform necessary functionalities, such as releasing drug molecules. This paper develops mathematical expressions for the proposed model, describes wet laboratory experiments designed to estimate model parameters, and performs biologically realistic computer simulation experiments to evaluate the performance of the proposed model. The main contributions of this paper are to demonstrate the functional division of molecular communication networks, which will facilitate the design and development of molecular communication networks. Furthermore, insight into the application-level performance of molecular communication networks will be provided based on the proposed model.

https://scholars.lib.ntu.edu.tw/bitstream/123456789/426407/1/Supplemental%20Publication%20No.%206.pdf

Performance Evaluation of Leader–Follower-Based Mobile Molecular Communication Networks for Target Detection Applications

Novel strategies for automatic satellite constellation design with satellite diversity and radio resource management are proposed The automatic satellite constellation design means that some parameters of satellite constellation design can be determined simultaneously The total number of satellites, the altitude of a satellite, the angle between planes, the angle shift between satellites and the inclination angle are considered in the design Satellite constellation design is modelled using a multiobjective genetic algorithm This method is applied to low Earth orbit (LEO), medium Earth orbit (MEO) and hybrid constellations The use of a genetic algorithm allows automatic satellite constellation design while achieving dual satellite diversity statistics Furthermore, a strategy for dynamic channel allocation is proposed that uses a genetic algorithm for use in mobile satellite systems (MSS) networks The main idea behind this algorithm is to use the minimum cost as a metric to provide optimum channel solutions for specified interference constraints The simulation is designed for a MEO satellite constellation Using this algorithm, the proposed model outperforms conventional dynamic channel assignment (DCA) schemes in terms of call blocking and call dropping probability Generally, genetic algorithms are robust to dynamic variations in satellite constellation design and provide resource allocation improvements in DCA in MSS networks

Satellite constellation design and radio resource management using genetic algorithm

Recent advancements in biological nanomachines have motivated the research on nanorobotic sensor networks (NSNs), where the nanorobots are green (i.e., biocompatible and biodegradable) and touchable (i.e., externally controllable and continuously trackable). In the former aspect, NSNs will dissolve in an aqueous environment after finishing designated tasks and are harmless to the environment. In the latter aspect, NSNs employ cross-scale interfaces to interconnect the in vivo environment and its external environment. Specifically, the in-messaging and out-messaging interfaces for nanorobots to interact with a macro-unit are defined. The propagation and transient characteristics of nanorobots are described based on the existing experimental results. Furthermore, planning of nanorobot paths is discussed by taking into account the effectiveness of region-of-interest detection and the period of surveillance. Finally, a case study on how NSNs may be applied to microwave breast cancer detection is presented.

/pdf/green-touchable-nanorobotic-sensor-networks-12w41196q8.pdf

Green Touchable Nanorobotic Sensor Networks

This paper aims to characterize the profile of the prospective IoT market in Indonesia. The primary data were collected in July 2018 through a comprehensive survey that sampled respondents representing the whole Indonesian population. The questionnaire was developed by extracting the 4 (four) main issues regarding which the potential users of the IoT technology may have concerns, i.e., willingness to use the IoT services, concerns related to rejection and worries about the IoT, the characteristics of the IoT hardware, and perceptions about the role of the IoT within the existing system. The results of the survey were analyzed to capture the profile of the prospective IoT market, and the strategic implications of the findings were considered. Several interesting results were found, ranging from answering the common question of what kinds of the IoT services are most anticipated to answering the delicate question of how the Indonesian people perceive the disruptive force that the IoT technology may exert. The contribution of this research is that it can be used as an initial guide or reference for regulators, the government and the IoT firms that will begin to deploy services in Indonesia.

/pdf/what-are-the-indonesian-concerns-about-the-internet-of-397m4ufz1i.pdf

What are the Indonesian Concerns about the Internet of Things (IoT)? Portraying the Profile of the Prospective Market

The spread of COVID-19 caused schools that previously used only a face-to-face system to deliver instruction online from home, a method commonly called e-learning e-Learning is extremely beneficial in providing cost-effective education irrespective of time and geographical boundaries Despite the benefit of e-learning, there are many problems associated with its use in Indonesia Based on the results of research by Indonesian Child Protection Commission (KPAI), the application of e-learning in secondary schools in Indonesia is quite challenging There is currently an education gap between the able and disadvantaged groups in Indonesia currently created by e-learning This study aims to assess the behavior intention of e-learning at junior high schools in Jakarta and Tangerang, Indonesia, due to the impact of COVID19 The research model is based on the unified theory of acceptance and use of a technology framework The behavioral intention of performance expectation, effort expectancy, attitude, facilitating condition, social influence, and cost were examined Data were collected by administering questionnaires to respondents who studied at the junior high schools in Jakarta and Tangerang Data analysis was performed using structural equation modeling The results showed that the social influence of e-learning has a strong positive relationship with behavioral intention The findings of the study contribute to the understanding of behavioral beliefs about e-learning in Jakarta and Tangerang due to COVID-19 This contribution could be a reference for the government in improving the education system for e-learning during COVID-19 © 2021, International Journal of Technology All Rights RESERVED

/pdf/behavioral-intention-of-e-learning-a-case-study-of-distance-19goy7ntfj.pdf

Behavioral Intention of e-Learning: A Case Study of Distance Learning at a Junior High School in Indonesia due to the COVID-19 Pandemic

A new algorithm is proposed as a robust method to increase the performance of the dynamic channel allocation (DCA) in mobile satellite (e.g. S-UMTS) system networks. The performance evaluation shows that the proposed model outperforms conventional DCA schemes in terms of the traffic carried per channel and the call blocking probability.

Muhamad Asvial

Papers

Satellite constellation design and radio resource management using genetic algorithm

Green Touchable Nanorobotic Sensor Networks

What are the Indonesian Concerns about the Internet of Things (IoT)? Portraying the Profile of the Prospective Market

Behavioral Intention of e-Learning: A Case Study of Distance Learning at a Junior High School in Indonesia due to the COVID-19 Pandemic

Evolutionary genetic DCA for resource management in mobile satellite systems