Archive for the ‘Wireless Sensor Networks’ Category

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.

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



November 13, 2017

The instruction is valid for Matlab version R2007b.

First dowload and save grTheory toolobox (save it in Tools): Open the Matlab and go to the File/Set Path and click on the Add Folder. Insert the path to your grTheory toolbox.  (more…)

Optimisasi Penyebaran Jaringan Sensor Pemantauan Maritim Menggunakan Algoritma Genetik

November 8, 2017


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.


Operator calculus approach for route optimizing and enhancing wireless sensor network

October 1, 2017

This is the abstract of my paper which accepted and published at Journal of Network and Computer Applications,Vol 97, pp. 1-10. 2017. DOI: 10.1016/j.jnca.2017.08.007.

Route optimization is one of important feature in wireless sensor networks in order to enhancing the life time of WSNs. Since Centrality is one of the greatest challenges in computing and estimating the important node metrics of a structural graph, it is necessary to calculate and determine the importance of a node in a network. This paper proposes an alternative way to optimizing the route problems which is based on multi-constrained optimal path (MCOP) and operator calculus approach. A novel routing protocol called Path Operator Calculus Centrality (POCC) is proposed as a new method to determine the main path which contains high centrality nodes in a wireless sensor network deployment. The estimation of centrality is using the operator calculus approach based on network topology which provides optimal paths for each source node to base station. Some constraints such as energy level and bit error rate (BER) of node are considered to define the path centrality in this approach. The simulation evaluation shows improved performance in terms of energy consumption and network lifetime.

Wireless Sensor Network, Multi-constrained Optimal Path Centrality, Path Centrality, Operator Calculus

NS-2: WSN with obstacles

May 29, 2017

This is the tcl script for simulating a Wireless Sensor Network with some obstacles in the target area.


Kuliah Umum di Program Pasca Sarjana Universitas Mercu Buana – Jakarta

March 27, 2016


Hari minggu, 27 Maret 2016, saya diberikan kesempatan yang baik oleh Prof. Mudrik Alaydrus untuk memberikan Kuliah Umum kepada teman-teman sivitas akademis Program Sarjana Teknik Elektro, Magister Manajemen Telekomunikasi, Universitas Mercu Buana, Jakarta.

Pada kesempatan kali ini, saya berbagi pengalaman dan ilmu pengetahuan mengenai riset yang telah saya lakukan selama di Perancis. Topiknya adalah mengenai “Optimizing and Enhancing the lifetime of WSN Deployment” dengan menggunakan pendekatan MOP (Multi-objective Optimisation Problem) dan Operator Calculus untuk mendefinisikan sebuah Path Centrality dari sebuah WSN.

Senang dan bahagia sekali melihat antusias teman-teman/adik-adik mahasiswa yang penuh semangat untuk melanjutkan studi ke jenjang yang lebih tinggi. Bon courage…!

Anda bisa mengunduh file presentasi dalam file pdf ini.

Search Based Software Engineering on Evolutionary Multi-Objective Approach

March 15, 2016

Here is the abstract of our paper entitle “Search Based Software Engineering on Evolutionary Multi-Objective Approach” which is accepted in IEEE International Converence on Communications 2016 and will be presented at Kuala Lumpur, Malaysia, on 23 May 2016.

The works on Search Based Software Engineering (SBSE) have been a big increase in the last decade. An approach to software engineering in which search based optimisation algorithms are applied to address problems in software engineering. SBSE has been applied to problems throughout the software engineering lifecycle, from requirements and project planning to maintenance and re-engineering. This paper provides a modification and an implementation of SBSE on evolutionary multi-objective based ap-proach for deployment of wireless sensor network (WSN) with the presence of fixed obstacle. In this work a multi-objective evolutionary algorithms based on elitist non-dominated sorting genetic algorithm (NSGA-II) is proposed to address the deployment problem. Two functions namely ranking function and fitness function are used to select the best optimal solution from Pareto optimal fronts.

Performance Analysis of Evolutionary Multi-Objective Based Approach for Deployment of Wireless Sensor Network with The Presence of Fixed Obstacles

November 11, 2014

Here is the abstract from our paper that already accepted and will be presented on Globecom 2014 that will be held in Austin, Texas, USA from 8 – 12 December 2014.

AbstractIn this paper, a study about wireless sensor network (WSN) deployment strategy is demonstrated and made workable for the use of multi-objective approach. The development of sensor nodes by considering multiple objectives and existence of fixed obstacles is an important optimization problem. There are two objectives in this study, connectivity and coverage as two fundamental issues in wireless sensor networks deployment. In this work a multi-objective evolutionary algorithms based on elitist non-dominated sorting genetic algorithm (NSGA-II) is proposed to address this problem. Two proposed functions, ranking function and fitness function, are used to determine the best optimal solution from Pareto optimal fronts. Further we presented simulation and analysis to verify and validate the deployment of wireless sensor network in area with the presence of permanent obstacles.

KeywordsMulti-objective optimization, Wireless Sensor Network, Deployment, Genetic Algorithm, Obstacle.

Evolutionary Multi-Objective Based Approach for Wireless Sensor Network Deployment

January 14, 2014


Here is the abstract from our paper that already accepted and will be presented on ICC 2014 (International Conference on Communication) that will be held in the beautiful city of Sydney, Australia from 10-14 June 2014.

Abstract: A multi-objective evolutionary algorithm is designed to address some problems in many fields. This paper is a study about deployment strategy for achieving coverage and connectivity as two fundamental issues in wireless sensor networks. To achieve the best deployment, our approach is based on elitist non-dominated sorting genetic algorithm (NSGA-II). There are two objectives in this study, connectivity and coverage. We defined a fitness function to achieved the best deployment of nodes. Further we performed simulation to verify and validate the deployment of wireless sensor network as an output from our proposed mechanism. We measured some performance parameters to investigate and analyze our proposed sensor-deployment. Our simulation results show that our proposed algorithm can maintain coverage and connectivity in given sensing area with a relatively small number of sensor nodes in a given area.


Sketch of Simple Program Genetic Algorithm

October 21, 2012

For almost 3 weeks I have been learning about Genetic Algorithm (GA), especially NSGA-2. So, I write this posting to help me to understand a little bit about GA. I found a good reference for beginners who learn about GA. A David A. Coley book, An Introduction to Genetic Algorithms for Scientists and Engineers.  (more…)