An Algorithm to Select an Energy-Efficient Server for an Application Process in a Cluster

2021 ◽  
pp. 82-92
Author(s):  
Kaiya Noguchi ◽  
Takumi Saito ◽  
Dilawaer Duolikun ◽  
Tomoya Enokido ◽  
Makoto Takizawa
Keyword(s):  
Energy Efficient ◽  
Application Process

Student Experience Applying to Graduate School for Speech-Language Pathology

2020 ◽  
Vol 5 (1) ◽  
pp. 192-205
Author(s):  
Lesley Sylvan ◽  
Andrea Perkins ◽  
Carly Truglio
Keyword(s):  
Graduate School ◽  
Master's Degree ◽  
Graduate Programs ◽  
Student Experience ◽  
Degree Programs ◽  
Speech Language Pathology ◽  
Application Process ◽  
Master's Degree Programs ◽  
Language Pathology ◽  
Master’S Degree

Purpose The purpose of this study is to better understand the experiences faced by students during the application process for master's degree programs in speech-language pathology. Method Data were collected through administering an online survey to 365 volunteers who had applied to master's degree programs in speech-language pathology. Survey questions were designed to gain the student perspective of the application process through exploration of students' deciding factors for top choices of graduate programs, emotional involvement in the application process, biases/rumors heard, student challenges, advice to future applicants, and what students would change about the application process. Results Factors that influenced participants' reasoning for selecting their “top choice” programs were largely consistent with previous studies. Issues that shaped the student experience applying to graduate school for speech-language pathology included financial constraints, concern regarding the prominence of metrics such as Graduate Record Examinations scores in the admissions process, a perceived lack of guidance and advising from faculty, and confusion regarding variation among graduate program requirements. Conclusion Gaining insight into the student experience with the application process for graduate programs in speech-language pathology yields useful information from a perspective not frequently explored in prior literature. While the data presented in this study suggest the process is confusing and challenging to many applicants, the discussion highlights practical solutions and sheds light on key issues that should be considered carefully by individual graduate programs as well as the field as a whole.

Performance Evaluation of AFOD Protocol for Energy Efficient Routing

2011 ◽  
Author(s):  
B. Smitha Shekar ◽  
M. Sudhakar Pillai ◽  
G. Narendra Kumar
Keyword(s):  
Performance Evaluation ◽  
Energy Efficient ◽  
Energy Efficient Routing

Distributed Entropy Energy-Efficient Clustering algorithm for cluster head selection (DEEEC)

2020 ◽  
Vol 39 (6) ◽  
pp. 8139-8147
Author(s):  
Ranganathan Arun ◽  
Rangaswamy Balamurugan
Keyword(s):  
Energy Efficient ◽  
Clustering Algorithm ◽  
Cluster Head ◽  
Residual Energy ◽  
Energy Utilization ◽  
Sensor Nodes ◽  
Second Stage ◽  
Energy Efficient Clustering ◽  
Two Stages ◽  
Ch Selection

In Wireless Sensor Networks (WSN) the energy of Sensor nodes is not certainly sufficient. In order to optimize the endurance of WSN, it is essential to minimize the utilization of energy. Head of group or Cluster Head (CH) is an eminent method to develop the endurance of WSN that aggregates the WSN with higher energy. CH for intra-cluster and inter-cluster communication becomes dependent. For complete, in WSN, the Energy level of CH extends its life of cluster. While evolving cluster algorithms, the complicated job is to identify the energy utilization amount of heterogeneous WSNs. Based on Chaotic Firefly Algorithm CH (CFACH) selection, the formulated work is named “Novel Distributed Entropy Energy-Efficient Clustering Algorithm”, in short, DEEEC for HWSNs. The formulated DEEEC Algorithm, which is a CH, has two main stages. In the first stage, the identification of temporary CHs along with its entropy value is found using the correlative measure of residual and original energy. Along with this, in the clustering algorithm, the rotating epoch and its entropy value must be predicted automatically by its sensor nodes. In the second stage, if any member in the cluster having larger residual energy, shall modify the temporary CHs in the direction of the deciding set. The target of the nodes with large energy has the probability to be CHs which is determined by the above two stages meant for CH selection. The MATLAB is required to simulate the DEEEC Algorithm. The simulated results of the formulated DEEEC Algorithm produce good results with respect to the energy and increased lifetime when it is correlated with the current traditional clustering protocols being used in the Heterogeneous WSNs.

A Survey on Hierarchical Cluster Based Secure Routing Protocols and Key Management Schemes in Wireless Sensor Networks

2018 ◽  
pp. 18-26
Author(s):  
Yugashree Bhadane ◽  
Pooja Kadam
Keyword(s):  
Routing Protocol ◽  
Routing Protocols ◽  
Key Management ◽  
Energy Efficient ◽  
Base Station ◽  
Secure Routing ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Management Schemes ◽  
Cluster Based Routing

Now days, wireless technology is one of the center of attention for users and researchers. Wireless network is a network having large number of sensor nodes and hence called as “Wireless Sensor Network (WSN)”. WSN monitors and senses the environment of targeted area. The sensor nodes in WSN transmit data to the base station depending on the application. These sensor nodes communicate with each other and routing is selected on the basis of routing protocols which are application specific. Based on network structure, routing protocols in WSN can be divided into two categories: flat routing, hierarchical or cluster based routing, location based routing. Out of these, hierarchical or cluster based routing is becoming an active branch of routing technology in WSN. To allow base station to receive unaltered or original data, routing protocol should be energy-efficient and secure. To fulfill this, Hierarchical or Cluster base routing protocol for WSN is the most energy-efficient among other routing protocols. Hence, in this paper, we present a survey on different hierarchical clustered routing techniques for WSN. We also present the key management schemes to provide security in WSN. Further we study and compare secure hierarchical routing protocols based on various criteria.

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