Parameterized Dynamic Cluster Editing

Dynamic and frequent re-clustering of nodes along with data aggregation is used to achieve energy-efficient operation in wireless sensor networks. But dynamic cluster formation supports data aggregation only when clusters can be formed using any set of nodes that lie in close proximity to each other. Frequent re-clustering makes network management difficult and adversely affects the use of energy efficient TDMA-based scheduling for data collection within the clusters. To circumvent these issues, a centralized Fixed-Cluster Architecture (FCA) has been proposed in this paper. The proposed scheme leads to a simplified network implementation for smart spaces where it makes more sense to aggregate data that belongs to a cluster of sensors located within the confines of a designated area. A comparative study is done with dynamic clusters formed with a distributive Low Energy Adaptive Clustering Hierarchy (LEACH) and a centralized Harmonic Search Algorithm (HSA). Using uniform cluster size for FCA, the results show that it utilizes the available energy efficiently by providing stability period values that are 56% and 41% more as compared to LEACH and HSA respectively.

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Target Tracking based on the Dynamic Cluster Method in the Acoustic Sensor Network

The Fifth International Conference on Computer and Information Technology (CIT'05) ◽

10.1109/cit.2005.181 ◽

2005 ◽

Cited By ~ 2

Author(s):

Chuanzhi Zang ◽

Yu Haibin ◽

Liang Wei ◽

Jieyin Bai ◽

Guangwei Li

Keyword(s):

Target Tracking ◽

Sensor Network ◽

Cluster Method ◽

Acoustic Sensor ◽

Dynamic Cluster

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Fixed-Parameter Tractable Generalizations of Cluster Editing

Lecture Notes in Computer Science - Algorithms and Complexity ◽

10.1007/11758471_33 ◽

2006 ◽

pp. 344-355 ◽

Cited By ~ 3

Author(s):

Peter Damaschke

Keyword(s):

Fixed Parameter Tractable ◽

Cluster Editing ◽

Fixed Parameter

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Tiarrah Computing: The Next Generation of Computing

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v8i2.pp1247-1255 ◽

2018 ◽

Vol 8 (2) ◽

pp. 1247

Author(s):

Yanish Pradhananga ◽

Pothuraju Rajarajeswari

Keyword(s):

Real Time ◽

High Performance ◽

New Technologies ◽

Fog Computing ◽

High Availability ◽

Application Development ◽

Dynamic Cluster ◽

Event Handling ◽

Application Deployment ◽

Flexible Application

The evolution of Internet of Things (IoT) brought about several challenges for the existing Hardware, Network and Application development. Some of these are handling real-time streaming and batch bigdata, real- time event handling, dynamic cluster resource allocation for computation, Wired and Wireless Network of Things etc. In order to combat these technicalities, many new technologies and strategies are being developed. Tiarrah Computing comes up with integration the concept of Cloud Computing, Fog Computing and Edge Computing. The main objectives of Tiarrah Computing are to decouple application deployment and achieve High Performance, Flexible Application Development, High Availability, Ease of Development, Ease of Maintenances etc. Tiarrah Computing focus on using the existing opensource technologies to overcome the challenges that evolve along with IoT. This paper gives you overview of the technologies and design your application as well as elaborate how to overcome most of existing challenge.

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