An intelligent fuzzy-based cluster head selection system for WSNs and its performance evaluation for D3N parameter

Cluster formation and cluster head selection are important problems in sensor network applications and can drastically affect the network's communication energy dissipation. However, selecting of the cluster head is not easy in different environments which may have different characteristics. In our previous work, in order to deal with this problem, we proposed a power reduction algorithm for sensor networks based on fuzzy logic and number of neighbour nodes. We call this algorithm F3N. In this paper, we evaluate F3N and LEACH by some simulation results. From the simulation results, we found that the probability of a not to be a cluster head is increased with increase of number of neighbour nodes and remained battery power decrease of distance from the cluster centroid.Peer ReviewedPostprint (published version

Performance evaluation of two-fuzzy based cluster head selection systems for wireless sensor networks

Sensor networks supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities are emerging as a critically important computer class that enable novel and low cost applications. There are many fundamental problems that sensor networks research will have to address in order to ensure a reasonable degree of cost and system quality. Cluster formation and cluster head selection are important problems in sensor network applications and can drastically affect the network’s communication energy dissipation. However, selecting of the cluster head is not easy in different environments which may have different characteristics. In this paper, in order to deal with this problem, we propose two fuzzy-based systems for cluster head selection in sensor networks. We call these systems: FCHS System1 and FCHS System2. We evaluate the proposed systems by simulations and have shown that FCHS System2 make a good selection of the cluster head compared with FCHS System1 and another previous system.Peer ReviewedPostprint (published version

Improve the Performance of Cluster Head and Network Life time Using Fuzzy Logic

Gathering is one of the most influential methods that can position the system process in related manner to join the network scalability, moderate vigor ingesting, and attain lengthy network lifetime. To overcome this subject, present academics have activated the proposal of many clustering algorithms. Though, most of the future algorithms overload the cluster head (CH) throughout cluster formation. To overwhelm this problematic, many investigators have originated up with the impression of fuzzy logic (FL), which is practical in WSN for choice making. These procedures focus on the ability of CH, which could be adoptive, flexible, and bright suitable to allocate the weight among the sensor nodes that can improve the network lifetime

Routing Protocol Wireless Sensor Network dengan Metode Fuzzy Sugeno

Bencana alam seperti banjir, tanah longsor dan angin puting beliung merupakan beberapa kejadian alam yang sering terjadi di Indonesia,dan penanganan bencana yang dilakukan oleh pemerintah selalu terkendala dengan waktu, dana, dan akses lokasi kejadian. Pemerintah sendiri bergerak berdasarkan informasi yang didapatkan dari wilayah sekitar yang terkait dan daerah dimana bencana tersebut terjadi. Karena cakupan wilayah Indonesia sangat luas maka kecepatan dan ketepatan dalam pengumpulan informasi sangatlah penting untuk penanganan bencana, salah satu solusi yang ada adalah dengan memanfaatkan jaringan internet, terkhusus dengan Wireless Sensor Network (WSN). Penelitian ini membahas tentang perancangan routing protocol WSN yang menerakpan metode Fuzzy Sugeno dalam simulasi berbasis aplikasi Matlab dengan mensimulasikan sejumlah node pada wilayah tertentu. Pertama, dengan routing protocol indicator-based setiap node menyusun indikatornya masing-masing untuk membantu prosen routing. Kemudian dengan menerapkan fungsi keanggotaan, setiap node dapat menentukan Cluster Head (CH) nya masing-masing sesuai hasil pembobotannya. Kedua, dengan metode Fuzzy Sugeno, setiap node akan menentukan rute pengiriman data paling efisien untuk dapat menghemat daya dan waktu sehingga sampai pada sink. Hasil yang didapat dari penelitian ini adalah dengan 50 node bercakupan 200 m2 yang tersebar dalam wilayah 500 m2, jumlah cycle maksimum adalah 1000 cycle, dan sink berada di tengah area. Seluruh packet informasi diterima saat putaran ke-282 atau dalam wahtu 4 menit 42 detik. Rata-rata maksimal penggunaan daya setiap node adalah 13 mAh (dengan asumsi setiap node berkapasitas 100mAh) dan berkurang seiring putaran yang terjdi karena semakin sedikit node yang aktif dalam sistem

An intelligent fuzzy-based cluster head selection system for WSNs and its performance evaluation for D3N parameter

Cluster formation and cluster head selection are important problems in sensor network applications and can drastically affect the network's communication energy dissipation. However, selecting of the cluster head is not easy in different environments which may have different characteristics. In our previous work, in order to deal with this problem, we proposed a power reduction algorithm for sensor networks based on fuzzy logic and number of neighbour nodes. We call this algorithm F3N. In this paper, we evaluate F3N and LEACH by some simulation results. From the simulation results, we found that the probability of a not to be a cluster head is increased with increase of number of neighbour nodes and remained battery power decrease of distance from the cluster centroid.Peer Reviewe