Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
On demand Multicast Routing in Wireless Sensor Networks
Download
index.pdf
Date
2014-05-16
Author
Sule, Clifford
Shah, Purav
Doddapaneni, Krishna
Gemikonakli, Orhan
Ever, Enver
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
103
views
0
downloads
Cite This
The wireless networking environment presents imposing challenges to the study of broadcasting and multicasting problems. Developing an algorithm to optimize communication amongst a group of spatially distributed sensor nodes in a WSN (Wireless Sensor Network) has been met with a number challenges due to the characterization of the sensor node device. These challenges include, but are not limited to: energy, memory, and throughput constraints. The traditional approach to overcome these challenges have emphasised the development of low power electronics, efficient modulation, coding, antenna design etc., it has been recognised that networking techniques can also have a strong impact on the energy efficiency of such systems. A variety of networking based approaches to energy efficiency are possible. One of the well-known approaches is to apply clustering techniques to effectively establish an ordered connection of sensor nodes whilst improving the overall network lifetime. This paper proposes an improved clustering based multicast approach that allows any cluster head to be a multicast source with an unlimited number of subscribers, to optimize group communication in WSNs whilst ensuring sensor nodes do not deprecate rapidly in energy levels. We review several clustering approaches and examine multicast versus broadcast communication in WSNs.
Subject Keywords
Computer Science, Hardware & Architecture
,
Computer Science, Information Systems
,
Wireless Sensor Networks
,
Clustering techniques
,
Multicast
,
Energy efficiency
URI
https://hdl.handle.net/11511/67972
DOI
https://doi.org/10.1109/waina.2014.47
Collections
Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
Energy efficient wireless unicast routing alternatives for machine-to-machine networks
Tekbiyik, Neyre; Uysal, Elif (Elsevier BV, 2011-09-01)
Machine-to-machine (M2M) communications is a new and rapidly developing technology for large-scale networking of devices without dependence on human interaction. Energy efficiency is one of the important design objectives for machine-to-machine network architectures that often contain multihop wireless subnetworks. Constructing energy-efficient routes for sending data through such networks is important not only for the longevity of the nodes which typically depend on battery energy, but also for achieving a...
Cognitive-Node Architecture and a Deployment Strategy for the Future WSNs
Al-Turjman, Fadi (Springer Science and Business Media LLC, 2019-10-01)
The advent of sensing and communication technologies represents the next step in the evolution of wireless sensor networks (WSNs) and future applications. Future WSNs systems demand that connected devices could be able to work autonomously, while surfing on-line generated data and process them for self-decision making. Accordingly, we propose a cognitive Information-Centric Sensor Network (ICSN) framework. The fundamentals of cognition in ICSN can be recognized as a promising direction in addressing opportu...
Rule-Based In-Network Processing in Wireless Sensor Networks
Sanli, Ozgur; KÖRPEOĞLU, İBRAHİM; Yazıcı, Adnan (2009-07-10)
Wireless sensor networks are application-specific networks, and usually a new network design is required for a new application. In event-driven wireless sensor network applications, the sink node of the network is generally concerned with the higher level information describing the events happening in the network, not the raw sensor data of individual sensor nodes. As the communication is a costly operation in wireless sensor networks, it is important to process the raw data triggering the events inside the...
Finding sensing coverage and breach paths in wireless sensor networks
Onur, Ertan; Delic, H (2004-01-01)
Most of the recent studies on wireless sensor networks deal with the communication coverage. However, for the surveillance wireless sensor networks, sensing coverage is an open research area. In this paper, the sensing coverage area of surveillance wireless sensor networks is studied. The sensing coverage is determined by applying Neyman-Pearson Detection Model and Dijkstra's shortest path algorithm is applied to find the weakest breach path. Although individually not enough, breach probability is an approp...
A Low-complexity, near-optimal scheduling policy for solving a restless multi-armed bandit problem occurring in a single-hop wireless network /
Gül, Ömer Melih; Uysal Bıyıkoğlu, Elif; Department of Electrical and Electronics Engineering (2014)
Power resources and battery lifetime are important issues for wireless networks such as wireless sensor networks (WSNs). To extend the battery lifetime, the recent advances in energy harvesting (EH) techniques propose an effective solution. EH nodes can harvest energy from environmental sources (e.g. solar, wind, vibrational, thermal) to power their sensing, computing and communication functions. In this thesis, we develop a solution to a scheduling problem under three scheduling scenarios. Firstly, we cons...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
C. Sule, P. Shah, K. Doddapaneni, O. Gemikonakli, and E. Ever, “On demand Multicast Routing in Wireless Sensor Networks,” 2014, p. 233, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/67972.