Promoting Heterogeneity, Mobility, and Energy-Aware Voronoi Diagram in Wireless Sensor Networks

Ammari, Habib M.; Das, Sajal K.

doi:10.1109/tpds.2008.31

Cited by 80 publications

(42 citation statements)

References 37 publications

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“…Consequently, much research work has been done on energy harvesting and moderating energy consumption [14][15][16][17][18][19][20][21] [23]. Once a sensor node finishes its energy, it will be disconnected from the network; this may have significant effect on the performance of the application.…”

Section: Requirements and Challenges Of Sensing Applicationsmentioning

confidence: 99%

Energy Provisioning Technique to Balance Energy Depletion and Maximize the Lifetime of Wireless Sensor Networks

Ekal¹,

Abdullah²

2016

ijacsa

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Abstract-With the promising technology of Wireless Sensor Networks (WSNs), lots of applications have been developed for monitoring and tracking in military, commercial, and educational environments. Characteristics of WSNs and resource limitation impose negative impacts on the performance and effectiveness of these applications. Imbalanced energy consumption among sensor nodes can significantly reduce the performance and lifetime of the network. In multi-hop corona WSN, the traffic imbalance among sensor nodes will make nodes located near to the sink consume more energy and finish their energy faster than those distant from the sink. This would cause what is called "energy hole", which prevents the network from performing the intended tasks properly. The objective of the work in this paper is to balance energy consumption to help improving the lifetime of corona-based WSNs. To maximize the lifetime of the network, an innovative energy provisioning technique is proposed for harmonizing the energy consumption among coronas by computing the extra needed energy in every corona. Experimental results of the evaluation revealed that the proposed technique could improve the network lifetime noticeably via fair balancing of energy consumption ratio among coronas.

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Section: Requirements and Challenges Of Sensing Applicationsmentioning

confidence: 99%

Energy Provisioning Technique to Balance Energy Depletion and Maximize the Lifetime of Wireless Sensor Networks

Ekal¹,

Abdullah²

2016

ijacsa

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“…To avoid spreading of compromised nodes in sensor networks, Jing Deng, Richard Han and Shivakant Mishra 2006 [5], introduced an algorithm called INSENS, it constructs forwarding table between each nodes to facilitate communication between sensor nodes and base station. In order to avoid insider attacks, Jin-Hee Cho, Ing-Ray Chen and Phu-Gui Feng 2010 [6], they produced an algorithm to avoid Byzantine failure and compromised nodes by means of Intrusion Detection.…”

Section: Related Workmentioning

confidence: 99%

Securing Multi-Path Routing Using Trust Management in Heterogeneous Wsn

Sathiyaprasad¹,

Sterlin²

2014

IOSRJCE

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“…Recently, lot of research has been carried out to address energy imbalance and mitigate energy hole problem for clustered WSNs. A number of strategies such as using node mobility [22,23]; mobile sink [24][25][26][27]; hierarchical deployment [28]; nonuniform clustering [18,29]; data compression and traffic aggregation [27,30]; node distribution [22,31,32]; etc. have been proposed for solving energy imbalance problem.…”

Section: Introductionmentioning

confidence: 99%

An Improved Energy Aware Distributed Clustering Protocol for Wireless Sensor Networks

Gupta¹,

Pandey

2016

IJCNIS

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Abstract-The present work considers energy aware distributed clustering protocol (EADC) which is commonly employed for balancing the energy consumption in non-uniformly deployed sensor networks. In the EADC, residual energy is considered as the primary clustering parameter and the clusters are constructed using uniform competition radius. However in non-uniform node distribution scenarios, more energy imbalance occurs in the network due to variation in intracluster energy consumption. For counter balancing it, an inter-cluster energy-efficient multi-hop routing protocol is utilized. In the EADC protocol, cluster heads select the relay node based on residual energy and cluster member count information. But this approach is less efficient in energy balancing. In this paper, an improved energy aware distributed equal clustering protocol is projected. Our scheme considers the relay metric directly in terms of energy expense in relaying the sensed data to the base station taking into account not only the residual energy and member count information but also distance information. It provides better balancing of energy in comparison with the existing approach. Three different scenarios created by varying node distribution are used for evaluating the performance of the proposed protocol and comparison is made with the EADC protocol. The results show that the proposed scheme extends network lifetime in all the scenarios.

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Promoting Heterogeneity, Mobility, and Energy-Aware Voronoi Diagram in Wireless Sensor Networks

Cited by 80 publications

References 37 publications

Energy Provisioning Technique to Balance Energy Depletion and Maximize the Lifetime of Wireless Sensor Networks

Energy Provisioning Technique to Balance Energy Depletion and Maximize the Lifetime of Wireless Sensor Networks

Securing Multi-Path Routing Using Trust Management in Heterogeneous Wsn

An Improved Energy Aware Distributed Clustering Protocol for Wireless Sensor Networks

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