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        Integrated Lighting Enabler System Using M2M Platforms for Enhancing Energy Efficiency

        Abdurohman, Maman,Putrada, Aji Gautama,Prabowo, Sidik,Wijiutomo, Catur Wirawan,Elmangoush, Asma Korea Information Processing Society 2018 Journal of information processing systems Vol.14 No.4

        This paper proposes an integrated lighting enabler system (ILES) based on standard machine-to-machine (M2M) platforms. This system provides common services of end-to-and M2M communication for smart lighting system. It is divided into two sub-systems, namely end-device system and server system. On the server side, the M2M platform OpenMTC is used to receive data from the sensors and send response for activating actuators. At the end-device system, a programmable smart lighting device is connected to the actuators and sensors for communicating their data to the server. Some experiments have been done to prove the system concept. The experiment results show that the proposed integrated lighting enabler system is effective to reduce the power consumption by 25.22% (in average). The proving of significance effect in reducing power consumption is measured by the Wilcoxon method.

      • KCI등재

        Integrated Lighting Enabler System Using M2M Platforms for Enhancing Energy Efficiency

        ( Maman Abdurohman ),( Aji Gautama Putrada ),( Sidik Prabowo ),( Catur Wirawan Wijiutomo ),( Asma Elmangoush ) 한국정보처리학회 2018 Journal of information processing systems Vol.14 No.4

        This paper proposes an integrated lighting enabler system (ILES) based on standard machine-to-machine (M2M) platforms. This system provides common services of end-to-and M2M communication for smart lighting system. It is divided into two sub-systems, namely end-device system and server system. On the server side, the M2M platform OpenMTC is used to receive data from the sensors and send response for activating actuators. At the end-device system, a programmable smart lighting device is connected to the actuators and sensors for communicating their data to the server. Some experiments have been done to prove the system concept. The experiment results show that the proposed integrated lighting enabler system is effective to reduce the power consumption by 25.22% (in average). The proving of significance effect in reducing power consumption is measured by the Wilcoxon method.

      • KCI등재

        A Modified E-LEACH Routing Protocol for Improving the Lifetime of a Wireless Sensor Network

        Maman Abdurohman,Yadi Supriadi,Fitra Zul Fahmi 한국정보처리학회 2020 Journal of information processing systems Vol.16 No.4

        This paper proposes a modified endtoend secure low energy adaptive clustering hierarchy (MELEACH) algorithm for enhancing the lifetime of a wireless sensor network (WSN). Energy limitations are a major constraint in WSNs, hence every activity in a WSN must efficiently utilize energy. Several protocols have beenintroduced to modulate the way a WSN sends and receives information. The endtoend secure low energy adaptive clustering hierarchy (ELEACH) protocol is a hierarchical routing protocol algorithm proposed to solve highenergy dissipation problems. Other methods that explore the presence of the most powerful nodeson each cluster as cluster heads (CHs) are the sparsityaware energy efficient clustering (SEEC) protocol and an energy efficient clusteringbased routing protocol that uses an enhanced cluster formation technique accompanied by the fuzzy logic (EERRCUF) method. However, each CH in the ELEACH method sends data directly to the base station causing high energy consumption. SEEC uses a lot of energy to identify the most powerful sensor nodes, while EERRCUF spends high amounts of energy to determine the super cluster head (SCH). In the proposed method, a CH will search for the nearest CH and use it as the next hop. The formation of CH chains serves as a path to the base station. Experiments were conducted to determine the performance of the MELEACH algorithm. The results show that MELEACH has a more stable and higher throughput than SEEC and EERRCUF and has a 35.2% better network lifetime than the ELEACH algorithm.

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