Archive for the ‘My Research’ Category

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.

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Kuliah Umum di Program Pasca Sarjana Universitas Mercu Buana – Jakarta

March 27, 2016

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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.

A Combined Path Selection and Admission Control Scheme for IPTV in IEEE 802.16j MMR Networks

February 20, 2015

ICC 2015 London

Here is the abstract from our paper that already accepted and will be presented on ICC 2015 and will be held in London, UK from 8 – 12 June 2015.

Abstract—This paper proposes a new mechanism of path selection and admission control for IPTV in IEEE 802.16j simultaneously. The proposed mechanism takes into account some constraints of Quality of Services (QoS) which are required by real-time applications, such as available bandwidth, end-to-end delay, number of hops between MR-BS and SS as well as quality of radio signal. With all these four constraints, selecting the best path becomes a multi-objective optimization problem, since we have two criteria to maximize and two other criteria to minimize. It makes selection process of the optimal path more difficult to find a solution in polynomial time. To solve this multi-constrained problem, the proposed approach applied a cost function which simplifies the multi-objective problem into single objective. This function provides a deterministic solution which takes into account all the above constraints. To evaluate the proposed mechanism, we study the performance of the proposed approach through various simulation scenarios. The results show that the proposed mechanism outperforms other studies.
Keywords—WIMAX, 802.16j, Path Selection,Admission Control

An Efficient Study of Scheduling Algorithms with Friedman Test in WiMAX Networks

January 20, 2015

Abstract : 

In this paper, we evaluate and compare our scheduling strategy for various IPTV services traffic over 802.16j networks with several scheduling algorithms such as Strict Priority algorithm (SP), Weighted Round Robin (WRR), and Modified Dynamic Weighted Round Robin (MWRR). The proposed scheme adapts dynamically the scheduler operation to according queue load and QoS constraints. In particular, the proposed mechanism gives more priority to HD-TV and SD-TV traffics by using two schedulers. The proposed scheduling algorithm has been simulated using the QualNet network simulator. The Friedman test has been used to address some significant issues of the analysis to compare the proposed scheme with the others scheme. The experimental result and analysis show that the proposed scheduler schemes outperform the traditional scheduling techniques for rtPS traffic that allows ensuring QoS requirements for IPTV application.

Keywords: IEEE 802.16j, WiMAX, Scheduling, Friedman test.

Download this article here.

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

November 11, 2014

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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.

Our Second “Best Paper Award”

July 21, 2014

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This is our second “Best Paper Award” from IEEE ICC 2014 (International Conference on Communication) in Sydney, Australia from 10-14 June 2014. The abstract of our work you can find here.

[SOLVED] fail2ban and denyhosts constantly ban me

March 22, 2014

Banned

Installing and using fail2ban is a great way to prevent attacks on SSH but I encountered an unusual problem with it: I sometimes got banned after frequent successful ssh logins. The reason was that I had public key authentication set up for another user on the same host and ssh was trying to use it for all the other accounts before prompting me for a password. The default fail2ban filters consider the “Failed publickey” error in the sshd log file at the same level with a failed password login hence the ban.

To change this behavior I had to edit /etc/fail2ban/filter.d/sshd.conf and change.

^%(__prefix_line)sFailed (?:password|publickey) for .* from (?: port \d*)?(?: ssh\d*)?$

into

^%(__prefix_line)sFailed password for .* from (?: port \d*)?(?: ssh\d*)?$

Evolutionary Multi-Objective Based Approach for Wireless Sensor Network Deployment

January 14, 2014

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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.

 

Comparison and Performance Analysis of AntNet and Distance Vector Routing Protocol in Telecommunication Networks Case Study : XYZ Company

February 26, 2013

This is my abstract from our paper that already accepted and will be presented on ICOICT (International Conference of Information and Communication Technology) that will be held on 20-22 March 2013, at The Trans Luxury Hotel in Bandung, Indonesia.

Abstract—In this paper, we learn and adapt ant colony algorithm to know about the quality of services of routing protocol in broadband backbone infrastructure of XYZ Company. The objective of this research is XYZ Company need a basic research reference to realize broadband services such as Internet Protocol Television (IPTV) and digital television with the existing network infrastructure. In other words, company should not buy and build a new infrastructure to apply a new service. In that way the budget to buy new expensive devices could be allocated to another aspect. We perform our work by using simulation NS-2. In our method, we assume that all nodes are a router. We show through our deep experiments based on real network topology and also we compare AntNet routing protocol with distance vector routing protocol to learn their behavior and performance. The simulation result shows that AntNet routing protocol is better than distance vector in term of packet delivery ratio for larger packet size. However, in term of routing overhead and delay, AntNet produces higher header packet than distance vector routing protocol.

Keywords—AntNet;Distance Vector; Routing Protocol;Performance;