scholarly journals EIRDA: An Energy Efficient Interest based Reliable Data Aggregation Protocol for Wireless Sensor Networks

2011 ◽  
Vol 22 (7) ◽  
pp. 20-25 ◽  
Author(s):  
Hemant Sethi ◽  
Devendra Prasad ◽  
R. B. Patel
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Aggregation ◽  
Energy Efficient ◽  
Reliable Data ◽  
Wireless Sensor

Energy efficient fixed-cluster architecture for wireless sensor networks

2021 ◽  
Vol 40 (5) ◽  
pp. 8727-8740
Author(s):  
Rajvir Singh ◽  
C. Rama Krishna ◽  
Rajnish Sharma ◽  
Renu Vig
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Aggregation ◽  
Energy Efficient ◽  
Search Algorithm ◽  
Cluster Formation ◽  
Wireless Sensor ◽  
Efficient Operation ◽  
Cluster Architecture ◽  
Dynamic Cluster

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.

scholarly journals Energy efficient enhanced tree structured compression model (ET-CM) for data aggregation in wireless sensor networks

2018 ◽  
Vol 7 (2.17) ◽  
pp. 1
Author(s):  
Nandoori Srikanth ◽  
M Siva ganga prasad
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Aggregation ◽  
Energy Efficient ◽  
Information Measure ◽  
Transmission Time ◽  
Wireless Sensor ◽  
Sensor Systems ◽  
Compression Model ◽  
Remote Sensor

Compression, is a typical strategy to decrease information measure by taking care of information excess, can be utilized as a part of postpone delicate remote sensor systems (WSNs) to diminish end-to-end bundle delay as it can lessen parcel transmission time and conflict on the remote channel. All together for remote sensor systems to misuse flag, flag information must be gathered at a large number of sensors and must be shared among the sensors. Huge sharing of information among the sensors repudiates the prerequisites (vitality effectiveness, low inactivity and high exactness) of remote organized sensor. This paper manages the investigation of compressive proportion and vitality utilization in the system by contrasting and the current compressive strategies.  

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