ISSN: 1813-0410

Keywords : Simulation


Clustering Approach to Minimize the Consumed Energy in WSNs

Mohammed Saad Talib

journal of kerbala university, Volume 13, Issue 2, Pages 70-78

Saving energy or energy consumption represents the essential problem in the process of designing, deploying and operating any "wireless sensor networks" (WSN). Most of the available produced sensors depend on a "limited power supply" battery in all their operations. Most of the sensors can perform the process of sensing, "data processing" and "wireless communication". Sensors can achieve various duties in WSNs according to their wanted applications.
In most applications sensors are ordered into sets called clusters according to the network objective and its requirements. Clustering achieved many advantages, so it represents the first preferable approach in designing or improving any WSN. Each cluster includes one leader sensor node known as a "cluster head" (CH) and the other sensors known as member nodes. In most applications the sensor node with higher energy is preferred to be a CH to perform the process of data transmission and data processing while those with low energy are preferred to achieve the sensing task as cluster members. Simulation being the unique tool in evaluating and estimating the performance metrics of any new designed WSN.
In this study, a main effort is made to study the effect of clustering approaches on the WSNs consumed energy. Many clustering approaches is simulated and evaluated with a developed suggested clustering approach. Three approaches were suggested, built and simulated to estimate the WSNs lifetime with their important behaviors parameters. Net Logo (5.2.1) as "multi-agent programming language" is suggested to be the simulation tool in this study.

A Performance of Cellular and Job Shop Manufacturing Systems Using Simulation-A Case Study

Sanaa Ali Hamza

journal of kerbala university, Volume 13, Issue 1, Pages 77-99

Cellular manufacturing that is based on group technology philosophy and job shop are two different manufacturing systems that are used widely in many firms and factories. Each of them have some characteristics suitable for some factories based on the production types and the policies of those factories. A performance measurement is very essential for each factory to identify the effectiveness of its manufacturing system. There are many techniques and formulas that are used to identify the performance of the manufacturing systems. One of the well-known techniques that used widely for this purpose is the simulation. The current paper used Arena software for simulating both cellular and job shop manufacturing systems separately in State Company for Mechanical Industries which is located in Iraq. After comparison by using some performance factors, cellular manufacturing showed better performance than job shop in terms of the average transfer time with percent of improvement (60.03)%, average total manufacturing time with percent of improvement (15.97)%,, average work in process time with percent of improvement (10.94)%,, schedule utilization with percent of improvement (7.93)%, and the average number of output products with percent of improvement (18.84)%.