Distance-Based and Low Energy Adaptive Clustering Protocol for Wireless Sensor Networks

A wireless sensor network (WSN) comprises small sensor nodes with limited energy capabilities. The power constraints of WSNs necessitate efficient energy utilization to extend the overall network lifetime of these networks. We propose a distance-based and low-energy adaptive clustering (DISCPLN) protocol to streamline the green issue of efficient energy utilization in WSNs. We also enhance our proposed protocol into the multi-hop-DISCPLN protocol to increase the lifetime of the network in terms of high throughput with minimum delay time and packet loss. We also propose the mobile-DISCPLN protocol to maintain the stability of the network. The modelling and comparison of these protocols with their corresponding benchmarks exhibit promising results

A922 Sequential measurement of 1 hour creatinine clearance (1-CRCL) in critically ill patients at risk of acute kidney injury (AKI)

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Intelligent Technique for Seamless Vertical Handover in Vehicular Networks

Seamless mobility is a challenging issue in the area of research of vehicular networks that are supportive of various applications dealing with the intelligent transportation system (ITS). The conventional mobility management plans for the Internet and the mobile ad hoc network (MANET) is unable to address the needs of the vehicular network and there is severe performance degradation because of the vehicular networks’ unique characters such as high mobility. Thus, vehicular networks require seamless mobility designs that especially developed for them. This research provides an intelligent algorithm in providing seamless mobility using the media independent handover, MIH (IEEE 802.21), over heterogeneous networks with different access technologies such as Worldwide Interoperability for Microwave Access (WiMAX), Wireless Fidelity (Wi-Fi), as well as the Universal Mobile Telecommunications System (UMTS) for improving the quality of service (QoS) of the mobile services in the vehicular networks. The proposed algorithm is a hybrid model which merges the biogeography-based optimization or BBO with the Markov chain. The findings of this research show that our method within the given scenario can meet the requirements of the application as well as the preferences of the users

Analisis Kompetensi Entrepreneurial, Strategi Kewirausahaan dan Modal Sosial terhadap Kinerja Usaha pada Kampoeng Sepatu di Sidoarjo pada Masa Pandemi Covid 19

Sidoarjo merupakan kota dengan sumber daya manusia yang produktif, banyak industri kecil yang berkembang cukup baik disana. Tidak heran jika industri menjadi salah satu sektor perekonomian utama di Sidoarjo selain perikanan. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh antara Kompetensi Entrepreneurial terhadap Kinerja Usaha Pada Kampoeng Sepatu Di Sidoarjo dan mengetahui pengaruh antara Strategi Kewirausahaan terhadap Kinerja Usaha Pada Kampoeng Sepatu Di Sidoarjo. Metode yang digunakan untuk memperoleh data-data yang dibutuhkan dalam penelitian ini adalah penelitian lapangan dengan cara metode kuisoner dan metode observasi. Berdasarkan hasil penelitian yang telah dilakukan diperoleh hasil bahwa Modal Sosial berpengaruh positip terhadap Kinerja Usaha. Hal ini menunjukkan bahwa Modal Sosial sangat berpengaruh terhadap Kinerja Usaha artinya bila meningkatkan modal sosial yang dimiliki pengusaha UKM sepatu seperti meningkatkan kepercayaan para pengusaha, mengembangkan hubungan yang baik antara para pengusaha dan konsumen,meningkatkan kerja sama antara pengusaha, mengembangkan jaringan bisnis dengan semua pihak, serta mengutamakan kepentingan usaha makan akan semakin meningkat kinerja bisnisnya