NDLI: Swarm and Fuzzy Based Cooperative Caching Framework to Optimize Energy Consumption Over Multimedia Wireless Sensor Networks

Content Provider	Springer Nature Link
Author	Sureshkumar, A. Samson Ravindran, R.
Copyright Year	2016
Abstract	Rapid technological advancement has spurred an impressive growth of industrial application for Multimedia Wireless Sensor networks. The entire sensor nodes are operated with the help of battery. An approach towards evolving low energy networking has been a great challenge, especially a battery which is worked storage and the nodes that are forwarded. More energy is consumed during data transmission and query processing. The possible solution is to minimize energy consumption by the use of cooperative caching method. In this research work, a Mobility with Clustering based Energy Efficient Cooperative Caching (MCE2C2) method is proposed. In this framework, the reservation node selection is performed using fuzzy interference system. The data transfer from the intermediate node and reservation node are performed by swarm intelligence based routing. When the sensor node accepts the data, the caching decision is evaluated by two parameters such as information present index and content drop time. The cache performance is improved by using the clustering mechanism and integrating the cache consistency and the cache replacement Push–Pull and Energy efficient Cache Replacement algorithms are used respectively. By using MATLAB and NS2 simulator, the performance of MCE2C2 is evaluated and the results are compared with existing approaches. As a result of this the sensor node energy is improved.
Starting Page	961
Ending Page	984
Page Count	24
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	90
Issue Number	2
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2016-03-30
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Multimedia wireless sensor networks Energy Clustering Cooperative caching Swarm intelligence Fuzzy logic Communications Engineering, Networks Signal, Image and Speech Processing Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A Cognitive Multi-hop Clustering Approach for Wireless Sensor Networks

Energy Aware Clustering Scheme in Wireless Sensor Network Using Neuro-Fuzzy Approach

Energy-Efficient Hierarchical Routing for Wireless Sensor Networks: A Swarm Intelligence Approach

Energy Efficient Architecture for Intra and Inter Cluster Communication for Underwater Wireless Sensor Networks

Cooperative Association/Re-association Approaches to Optimize Energy Consumption for Real-Time IEEE 802.15.4/ZigBee Wireless Sensor Networks

An Energy Aware Distributed Clustering Algorithm Using Fuzzy Logic for Wireless Sensor Networks with Non-uniform Node Distribution

Multi-hop Routing Algorithm Using Steiner Points for Reducing Energy Consumption in Wireless Sensor Networks

Equal-Size Clustering for Irregularly Deployed Wireless Sensor Networks

A Hybrid Swarm Optimization for Energy Efficient Clustering in Multi-hop Wireless Sensor Network

Swarm and Fuzzy Based Cooperative Caching Framework to Optimize Energy Consumption Over Multimedia Wireless Sensor Networks

Similar Documents

A Cognitive Multi-hop Clustering Approach for Wireless Sensor Networks

Energy Aware Clustering Scheme in Wireless Sensor Network Using Neuro-Fuzzy Approach

Energy-Efficient Hierarchical Routing for Wireless Sensor Networks: A Swarm Intelligence Approach

Energy Efficient Architecture for Intra and Inter Cluster Communication for Underwater Wireless Sensor Networks

Cooperative Association/Re-association Approaches to Optimize Energy Consumption for Real-Time IEEE 802.15.4/ZigBee Wireless Sensor Networks

An Energy Aware Distributed Clustering Algorithm Using Fuzzy Logic for Wireless Sensor Networks with Non-uniform Node Distribution

Multi-hop Routing Algorithm Using Steiner Points for Reducing Energy Consumption in Wireless Sensor Networks

Equal-Size Clustering for Irregularly Deployed Wireless Sensor Networks

A Hybrid Swarm Optimization for Energy Efficient Clustering in Multi-hop Wireless Sensor Network

Swarm and Fuzzy Based Cooperative Caching Framework to Optimize Energy Consumption Over Multimedia Wireless Sensor Networks