Smart lighting has become a universal smart product solution, with global revenues of up to US$5.9 billion by 2021. Six main factors drive the technology: light-emitting diode (LED) lighting, sensors, control, analytics, and intelligence. The Internet of things (IoT) concept with the end device, platform, and application layer plays an essential role in optimizing the advantages of LED lighting in the emergence of smart lighting. The ultimate aim of smart lighting research is to introduce low energy efficiency and high user comfort, where the latter is still in the infancy stage. This paper presents a systematic literature review (SLR) from a bird's eye view covering full-length research topics on smart lighting, including issues, implementation targets, technological solutions, and prospects. In addition to that, this paper also provides a detailed and extensive overview of emerging machine learning techniques as a key solution to overcome complex problems in smart lighting. A comprehensive review of improving user comfort is also presented, such as the methodology and taxonomy of activity recognition as a promising solution and user comfort metrics, including light utilization ratio, unmet comfort ratio, light to comfort ratio, power reduction rate, flickering perception, Kruithof's comfort curve, correlated color temperature, and relative mean square error. Finally, we discuss in-depth open issues and future challenges in increasing user comfort in smart lighting using activity recognition.

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Abstract-Provision of high investment costs to meet a reliable wireless communication networks with large capacity is one of the challenges for telecom operators today. Utilization of bandwidth allocation in an efficient and optimal frequency is one of the solutions to overcome the high investment costs. The purpose of this research is conducted the feasibility analysis of CAPEX and OPEX costs with frequency Refarming schemes using Replacement Analysis (RA) schemes according to the percentage growth rate of wireless customers voice and data (2012-2017) on one of the telecom operators in Indonesia . The method is a research study assessing the feasibility analysis using Replacement Analysis (RA) scheme for network capacity optimization by implementing frequency Refarming with four scenarios of implementation, i.e. 2G/3G Collocation, 2G/3G/LTE Collocation, 3G/LTE Collocation, and LTE. Finally, the research is conducted using the method of Replacement Analysis (RA), the frequency Refarming scheme is one solution for telecom operators in Indonesia in the optimization of the existing capacity of wireless networks (2G and 3G) and the new network (LTE) which reliable, and can be recommended LTE deployment scenario CAPEX and OPEX due to cost incurred is smaller than the other three scenarios of its implementation (2G/3G Collocation, 2G/3G/LTE Collocation, 3G/LTE Collocation). I. PENDAHULUAN Berdasarkan regulasi dari Kementrian Komunikasi dan Informatika Indonesia, pengertian spektrum frekuensi radio merupakan sumber daya alam yang terbatas yang mempunyai nilai strategis dalam penyelenggaraan telekomunikasi dan dikuasai oleh negara. Pemanfaatan spektrum frekuensi radio sebagai sumber daya alam tersebut perlu dilakukan secara tertib, efisien, sesuai dengan peruntukannya sehingga tidak menimbulkan gangguan yang merugikan. Keywords-Untuk meningkatkan kapasitas jaringan dan memenuhi kebutuhan pelanggan kedepan, maka diperlukan penyediaan spektrum frekuensi yang efisien dan optimal oleh operator telekomunikasi di Indonesia. Dalam dunia telekomunikasi

For decades, there have been significant interests in monitoring the aquatic environment for scientific exploration, commercial exploitation, coastline protection, and even disasters prevention and mitigation such as tsunami warnings. Highly precise, real-time, and temporal-spatial continuous aquatic environment monitoring system is extremely important for underwater life. To support and simulate such monitoring system, underwater sensor networks (UWSN) have emerged as a very powerful technique for many applications on underwater environment, including monitoring, measurement, surveillance, and control by using Aqua-Sim. Aqua-Sim is a simulator for UWSN developed on Network Simulator 2 platform which effectively simulates the attenuation of underwater acoustic channels and the collision behaviors in long delay acoustic networks. Currently, there are several routing protocols for UWSN which are implemented in Aqua-Sim. On this research, we did a simulation on Aqua-Sim by performing Vector-based Forwarding (VBF) protocol and Depth-based Routing (DBR) protocol performance analysis based on energy consumption parameter. Based on the result, it can be concluded that the VBF routing protocol requires more energy consumption than the DBR routing protocol.

Vehicular Ad-hoc Network (VANET) is developed based on mobile ad-hoc networks (MANET).VANET has different characteristics than MANET. On VANET, a mobile node (MN) moves faster, topology changes dynamically. The previous research shows that the model of mobility affects to the network performance. In this paper, a Gauss-Markov mobility model is used to illustrate the motion of the MN. This paper enriches the evaluation of the performance of Gauss-Markov mobility model on LTE-VANET hybrid network, by evaluating various network performance metrics, i.e. packet delivery ratio (PDR), throughput, and delay. This research simulates the Gauss-Markov mobility model with various numbers of nodes and randomness index (α), using Network Simulator-3 (NS-3). The result shows that strong correlation among PDR, throughput, and delay with the addition number of MNs. Based on the simulation result, the hybrid LTE-VANET have smaller 40% average delay than the existing VANET. This simulation also concludes that different value of alpha on Gauss-Markov mobility model does not influence PDR, throughput, and delay.