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Bulletin of Electrical Engineering and Informatics
Published by Institute of Advanced Engineering and Science
ISSN : -     EISSN : -     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering
Bulletin of Electrical Engineering and Informatics ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication, computer engineering, computer science, information technology and informatics from the global world. The journal publishes original papers in the field of electrical (power), electronics, instrumentation & control, telecommunication and computer engineering; computer science; information technology and informatics. Authors must strictly follow the guide for authors. Please read these instructions carefully and follow them strictly. In this way you will help ensure that the review and publication of your paper is as efficient and quick as possible. The editors reserve the right to reject manuscripts that are not in accordance with these instructions.
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Articles 12 Documents
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Search results for , issue "Vol 6, No 1: March 2017" : 12 Documents clear
Design of a Low Cost Remotly Operated Vehicle with 3 Dof Navigation Romi Wiryadinata; Annisa Sucianti Nurliany; Imamul Muttakin; Teguh Firmansyah
Bulletin of Electrical Engineering and Informatics Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (825.053 KB) | DOI: 10.11591/eei.v6i1.596

Abstract

One type of underwater robot is the ROV (Remotely Operated Vehicle) whose movements are controlled directly by humans from the water surface. In this paper, ROV prototype has been designed and tested with three DoF (Degrees of Freedom) and controlled by a joystick which is connected with UTP (Unshielded Twisted Pair) cables as data transmission between joystick with a microcontroller embedded in the robot. This prototype has 3 thrusters with 3 degrees of freedom, 1 rotational motion (heave) and 2 translational motion (yaw and surge), with direction of movement up, down, forward, backward, turn right, and turn left. Speed mode setting when forward movement on PWM (Pulse Width Modulation) 75% = 0,037 m/s, 90% = 0.053 m/s and 100% = 0,071 m/s, while the reverse speed by 75% = 0,034 m/s, 90% = 0.045 m/s and 100% = 0.059 m/s, when the ROV moves up is 0,042 m/s, down 0.032 m/s, turn right 9 o/s and turn left 15 o/s set with fixed PWM value, is 100%.
Energy Aware Heuristic approach for Cluster Head Selection in Wireless Sensor Networks A. Tamizharasi M. E.; J. Jasmine Selvathai M. E.; A. Kavi Priya; Maarlin R.; Harinetha M.
Bulletin of Electrical Engineering and Informatics Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (641.364 KB) | DOI: 10.11591/eei.v6i1.598

Abstract

Wireless sensor networks idea is envisioned and defined as self-deployed, error prone, long living inexpensive communication devices that are densely deployed to collect data from physical space. Sensor nodes communicate with each other to detect events depending on the application, to collect and process data, and to transmit the sensed information to the base station by hopping the data from node to node. Major challenge in wireless network is energy consumption, since the sensor devices are deployed on unattended wide areas and replacing their batteries is not very feasible. Therefore, designing energy-aware algorithms becomes a major challenge for extending the lifetime of sensors. The lifetime of the network can be maximized by selecting the most optimal cluster head. In this paper, a heuristic decision making approach is proposed for producing energy-aware clusters with optimal selection of cluster head. This helps to improve the efficiency and accuracy and overcome the drawbacks like getting trapped at a local extreme in the optimization process.

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