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Mobile Agent Initiated Energy Efficient Data Aggregation in WSNs: MAEDA

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Shivangi Katiyar, Devendra Prasad

Shivangi Katiyar and Devendra Prasad. Article: Mobile Agent Initiated Energy Efficient Data Aggregation in WSNs: MAEDA. International Journal of Computer Applications 140(1):10-15, April 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

	author = {Shivangi Katiyar and Devendra Prasad},
	title = {Article: Mobile Agent Initiated Energy Efficient Data Aggregation in WSNs: MAEDA},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {140},
	number = {1},
	pages = {10-15},
	month = {April},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}


A sensor node in WSNs has limited resources (e.g., memory capacity, battery power etc.) and among all, energy is the most crucial factor because refilling or recharging of power is not possible here. There are many possible ways to conserve energy in WSNs; data aggregation is one of them. Applications of WSNs cross a broad scale including environment monitoring, Habitat monitoring, monitoring Water and Air quality, Gas emission, etc. The above mentioned applications and many other needs Data Aggregation because here sensors frequently reports sensed values to the Processing Elements without removing redundant and disused entries. This paper proposes Mobile Agent initiated Energy efficient Data Aggregation (MAEDA) approach to prolong network lifetime. This method skillfully integrates Mobile Agent (MA) with wireless sensor networks. The proposed method is emulated by MATLAB platform; our simulation results are very impressive and prove that MAEDA is able to save more energy in data aggregation as well as prolonged network lifetime than other existing one.


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Sink, Mobile Agent, Data aggregation.