ENERGY PERFORMANCE OF A COMBINED HORIZONTAL AND VERTICAL COMPRESSION APPROACH IN CLUSTER-BASED WSNS

JIHANE EL AASRI, SAMIA AL FALLAH, MOUNIR ARIOUA and
AHMED EL OUALKADI
Laboratory of Information and Communication Technologies, National School of Applied Science, Tangier Abdelmalek Essaadi University, Morocco

Abstract 

Energy efficiency is an essential issue to be reckoned in wireless sensor networks development. Since the low-powered sensor nodes deplete their energy in transmitting the collected information, several strategies have been proposed to investigate the communication power consumption, in order to reduce the amount of transmitted data without affecting the information reliability. Lossy compression is a promising solution recently adapted to overcome the challenging energy consumption, by exploiting the data correlation and discarding the redundant information. In this paper, we propose a hybrid compression approach based on two dimensions specified as horizontal (HC) and vertical compression (VC), typically implemented in cluster-based routing architecture. The proposed scheme considers two key performance metrics, energy expenditure, and data accuracy to decide the adequate compression approach based on HC-VC or VC-HC configuration according to each WSN application requirement. Simulation results exhibit the performance of both proposed approaches in terms of extending the clustering network lifetime.

Keywords 

WSN, Clustering, Vertical compression, Horizontal compression, Energy efficiency, Data reliability
                       

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CLBNSRM - CONFIDENCE LEVEL BASED UNBLEND NEIGHBOR SELECTION &BLEND NODE REPORT BASED OPTIMIZED ROUTE FORMATION IN MANET

S. J. Patil¹ , L.S. Admuthe² and M. R. Patil³

¹Research Scholer,Department of Electronics and Communication, VTU, RRC, Belgavi, Karnataka, India.

² Department of Electronics Engineering, DKTE’S Textile & Engineering Institute, Ichalkaranji. Maharashtra, India.

³ J.A.G.M. Institute of Technology, Jamkhandhi, Karnataka, India.

Abstract 

A mobile Ad-hoc network (MANET) is an impulsive network that can be recognized with no predetermined infrastructure. To achieve safe path selection cryptographic key exchange was implemented mostly in turn of huge computational cost. Confidence based coordination in MANET focuses on routing challenges created by selfish nodes, as energy utilization & time factor are key issues in this aspect. The present protocol is focused on fuzzy optimization-based node confidence estimation and path selection with minimum energy utilization. The node with maximum confidence value will give high priority to include in the path for transmission. In the implemented protocol to build a novel confidence-based model multidimensional factors like confidence value, link cost, degree of node and node energy are included as decision-making factors. The proposed protocol CLBNSRM estimates confidence level in four steps to decide a trustworthiness of neighboring node. To estimate the efficiency of the present confidence model various protocols are compared by using attributes like the number of nodes, node speed, malicious node variation, etc. Moreover, different parameters like Packet delivery ratio, Throughput, Residual energy, and Packet dropped are considered with these attribute variations. Experimental results indicate that PDR and Throughput increase although in presence of malicious nodes, along with the utilization of minimal energy. Statistical analysis is carried out for mathematical modeling. This analysis shows that a linear model of an implemented protocol is better than compared protocol with all the aspects.

Keywords 

MANET, Path Selection, Confidence, Priority, Fuzzy Optimization.
                       

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AUTO RESOURCE MANAGEMENT TO ENHANCE RELIABILITY AND ENERGY CONSUMPTION IN HETEROGENEOUS CLOUD COMPUTING

Moataz H. Khalil^{1, 2}, Mohamed Azab² , Ashraf Elsayed³, Walaa Sheta^{1, 2} Mahmoud Gabr³ and Adel S. Elmaghraby^1,2

¹CECS Department, University of Louisville, Kentucky, USA.

²The City of Scientific Research and Technology Applications, Egypt.

³Department of Mathematics & Computer Science, Faculty of Science,

Alexandria University, Alexandria, Egypt.

Abstract 

A classic information processing has been replaced by cloud computing in more studies where cloud computing becomes more popular and growing than other computing models. Cloud computing works for providing on-demand services for users. Reliability and energy consumption are two hot challenges and tradeoffs problem in the cloud computing environment that requires accurate attention and research. This paper proposes an Auto Resource Management (ARM) scheme to enhance reliability by reducing the Service Level Agreement (SLA) violation and reduce energy consumed by cloud computing servers. In this context, the ARM consists of three compounds, they are static/dynamic threshold, virtual machine selection policy, and short prediction resource utilization method. The Minimum Utilization Non-Negative (MUN) virtual machine selection policy and Rate of Change (RoC) dynamic threshold present in this paper. Also, a method of choosing a value as the static threshold is proposed. To improve ARM performance, the paper proposes a Short Prediction Resource Utilization (SPRU) that aims to improve the process of decision making by including the resources utilization of future time and the current time. The output results show that SPRU enhanced the decision-making process for managing cloud computing resources and reduced energy consumption and the SLA violation. The proposed scheme tested under real workload data over the CloudSim simulator

Keywords 

Cloud computing, Service Level Agreement, Reliability, energy consumption, Virtual machine migration, Resource management, utilization resource prediction.
                       

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VIRTUAL CACHE & VIRTUAL WAN ACCELERATOR FUNCTION PLACEMENT FOR COST-EFFECTIVE CONTENT DELIVERY SERVICES

Shin-ichi Kuribayashi

Department of Computer and Information Science, Seikei University, Japan

Abstract 

The algorithm to determine the place where network functions are located and how much capacities of network function flexibly are required is essential for economical NFV (Network Functions Virtualization)- based network design. The authors proposed a placement algorithm of virtual routing function and virtual firewall function in the NFV-based network for minimizing the total network cost and developed the effective allocation guidelines for these virtual functions. This paper proposes an NFV-based virtual cache placement algorithm for cost-effective content delivery service such as video streaming, which judges the optimal placement of the cache per content, not on a virtual machine (VM) like the conventional CDN (virtual CDN). Moreover, the content is dynamically cached at the time of first content delivery like ICN (Information-Centric Networking) without placing the cache in advance like CDN .Our evaluation results revealed that the proposed algorithm could reduce total network costs by about 15% compared with CDN .Even if the content cache is deployed economically, performance will degrade if the latency between the content cache and user terminals is long. In order to prevent such a case, this paper also propose a cost-effective placement method of NFV-based WAN accelerator function.

Keywords 

NFV, resource allocation, virtual cache, virtual WAN accelerator, content delivery services, minimum network cost
                       

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MOBILE CROWD SENSING RPL-BASED ROUTING PROTOCOL FOR SMART CITY

Yahya Al Sawafi, Abderezak Touzene, Khaled Day and Nasser Alzeidi

 Department of Computer Science, Sultan Qaboos University, Muscat, Oman

Abstract 

Recently, Mobile Crowd Sensing (MCS) has been used in many smart city monitoring applications, leveraging the latest smartphone features of sensing and networking. However, most of these applications use a direct internet connection for sending the collected data to the server through a 3G or 4G (LTE) network.This type of communication leads to higher bandwidth, battery consumption, and higher data plan cost. In this paper, we presenta new ad-hoc tree-based routing protocol named MCS-RPL based on theIoT RPL protocol for the smart city context. The proposed protocol aims to utilize smartphone and Mobile CrowdSensing (MCS) opportunistically to support static Wireless Sensor Network (WSN) and to cover more sensing areas with less routing overhead and power consumption. MCS-RPL usesa grid-based cluster head to address mobility issues and reduce control packets. The conducted performance evaluation reveals that the proposed protocol outperforms RPL in terms of packet delivery ratio and power consumption due to control packet overhead reduction, which reached more than 75% in the tested scenarios

Keywords 

MCS; Routing; ad-hoc;Opportunistic Networks; RPL; Smart City; 
                       

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