Posts Tagged ‘sensor’

IJR Project UMB-UHA-CESI

February 21, 2019

Since October 2017, I have been involving as a member of International Joint Research (IJR) project between 3 institutions (2 France, 1 Indonesian). Currently I’m an associate professor at UMB (maybe until [month] 20[xx] ūüôā ) and a PostDoc fellow at CESI Starsbourg, France, as a part of joint research between UMB-UHA-CESI. We have started our project on December 2017. (more…)

Development of a New Routing Protocol by using Multi-objective and Swarm Intelligent Approaches for Wireless Sensor Network on Maritime Environment Monitoring

December 1, 2017

This is the abstract for my International Research Collaboration and Scientific Publication with two French Institutions as international collaborators.

ABSTRACT
As the largest archipelago country in the world, Indonesia has great potential to be the¬†world’s maritime axis. The maritime axis is a strategic idea which embodied to ensure¬†inter-island connectivity, shipping and fishery industries development, marine¬†transportation improvement and focus on maritime security. So maritime monitoring¬†is crucial in order to prevent sea pollution, fish theft, sovereignty offenses, territorial¬†disputes, and piracy. Nowadays, maritime monitoring has been a very interesting issue¬†over the last decade. With the rapid advancement of technology and the Internet,¬†sensor network technology has become very important in monitoring the aquatic¬†environment. Maritime responsibilities, such as vigilance and patrolling, wildlife ¬†monitoring, and aqua-culture inspection, mostly require large operational teams and¬†expensive equipment. In this research proposal, we will study a scalable robotics¬†system based on swarm intelligence. We take advantage of bio-inspired artificial¬†evolution approaches in order to synthesize scalable and robust collective behaviors¬†for the nodes or the drones. In this research proposal, we will study and propose a¬†system which composed of potentially hundreds sensor nodes or thousands of¬†autonomous drones. Each drone could equipped with a number of different sensors.¬†The use of numerous nodes or drones introduces redundancy in the system, which ¬†decreases the impact of hardware declines and has the potential to improve¬†operational efficiency by admitting a wider area to be covered simultaneously. On the¬†other hand, automating such missions greatly minimizes the maintenance cost while¬†increasing scalability and availability. The behaviors of nodes or drones are then¬†combined hierarchically, allowing the overall behavior for a particular mission to be¬†quickly configured and tested in simulation. The goals of this research is to¬†developing a new mechanism which enable swarm intelligence of nodes or drones to¬†operate as a robust wireless sensor network (WSN) for maritime environment¬†monitoring.
Keywords: Maritime, Swarm Intelligence, Sensor, WSN

Optimisasi Penyebaran Jaringan Sensor Pemantauan Maritim Menggunakan Algoritma Genetik

November 8, 2017

Abstrak

Sebagai negara kepulauan terbesar di dunia, Indonesia memiliki potensi besar menjadi poros maritim dunia. Poros maritim merupakan sebuah gagasan strategis yang diwujudkan untuk menjamin konektifitas antar pulau, pengembangan industri perkapalan dan perikanan, perbaikan transportasi laut serta fokus pada keamanan maritim. Maka diperlukan pemantauan maritim untuk mencegah terjadinya hal-hal yang negatif seperti pencemaran laut, pencurian ikan, pelanggaran kedaulatan, sengketa wilayah, dan perompakan. Pemantauan maritim telah menjadi isu yang sangat menarik selama beberapa tahun belakangan ini. Dengan adanya kemajuan teknologi dan Internet yang sangat pesat, teknologi jaringan sensor nirkabel telah menjadi hal yang sangat penting pada pemantauan lingkungan perairan. Penelitian ini mengusulkan sebuah metode optimasi penyebaran jaringan sensor untuk pemantauan lingkungan maritim. Dengan menggunakan pendekatan algoritma genetik multi-obyektif evolusioner untuk mendapatkan solusi topologi jaringan sensor optimal dengan jumlah sensor seminimum mungkin, namun maksimum dalam hal jangkauan dan konektifitas.

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