Aco based wireless sensor network routing for energy saving

Wireless Sensor network (WSN) is one of the most attractive fields for researchers. This paper studies about optimization techniques such as Weighted Compressive Data Aggregation (WCDA), Cluster-based Weighted Compressive Data Aggregation (CWCDA) & Ant Colony Optimization (ACO). WCDA & CWCDA...

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Bibliographic Details
Published in2017 International Conference on Inventive Communication and Computational Technologies (ICICCT) pp. 150 - 154
Main Authors Sharma, Sonal, Kushwah, Rajendra Singh
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2017
Subjects
ACO
Algorithm design and analysis
Base stations
Clustering algorithms
CWCDA
Data aggregation
Data Aggregation (DA)
Detectors
Energy consumption
WCDA
Wireless sensor networks
WSN
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Summary:Wireless Sensor network (WSN) is one of the most attractive fields for researchers. This paper studies about optimization techniques such as Weighted Compressive Data Aggregation (WCDA), Cluster-based Weighted Compressive Data Aggregation (CWCDA) & Ant Colony Optimization (ACO). WCDA & CWCDA are analyzed and discussed. WCDA & CWCDA algorithm is used for reducing energy consumption in WSN model. The simulation results of WCDA & CWCDA algorithms are shown in this paper in terms of sum of energy, percentage of dead nodes and packets send to base station nodes. Issues of WCDA & CWCDA algorithms are discussed and a required solution is proposed. Final simulation results of WCDA & CWCDA shows consumption of energy is minimized as compared to other approaches.
DOI:10.1109/ICICCT.2017.7975178