A Cluster-Based Energy Optimization Algorithm in Wireless Sensor Networks with Mobile Sink.
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In this paper, the authors proposed a cluster-based energy optimization algorithm called Cluster-Based Energy Optimization with Mobile Sink (CEOMS), which constructs the energy density function of network nodes firstly and then assigns sensor nodes with higher remaining energy as cluster heads according to energy density functions.Abstract:
Aiming at high network energy consumption and data delay induced by mobile sink in wireless sensor networks (WSNs), this paper proposes a cluster-based energy optimization algorithm called Cluster-Based Energy Optimization with Mobile Sink (CEOMS). CEOMS algorithm constructs the energy density function of network nodes firstly and then assigns sensor nodes with higher remaining energy as cluster heads according to energy density function. Meanwhile, the directivity motion performance function of mobile sink is constructed to enhance the probability of remote sensor nodes being assigned as cluster heads. Secondly, based on Low Energy Adaptive Clustering Hierarchy Protocol (LEACH) architecture, the energy density function and the motion performance function are introduced into the cluster head selection process to avoid random assignment of cluster head. Finally, an adaptive adjustment function is designed to improve the adaptability of cluster head selection by percentage of network nodes death and the density of all surviving nodes of the entire network. The simulation results show that the proposed CEOMS algorithm improves the cluster head selection self-adaptability, extends the network life, reduces the data delay, and balances the network load.read more
Citations
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An energy efficient cluster based hybrid optimization algorithm with static sink and mobile sink node for Wireless Sensor Networks
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An Improved Approach for Wireless Sensor Networks With Mobile Sink Using Dynamic Minimum Spanning Tree
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LEACH-MTC: A Network Energy Optimization Algorithm Constraint as Moving Target Prediction
TL;DR: Simulation results show that the proposed LEACH-MTC algorithm can not only ensure the real-time consistency between the changing direction of area and the direction of target movement, but also increase the number of working nodes’ survival and reduce the network energy consumption.
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An optimization-based coverage aware path planning algorithm for multiple mobile collectors in wireless sensor networks
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Maintaining Effective Node Chain Connectivity in the Network with Transmission Power of Self-Arranged AdHoc Routing in Cluster Scenario
Kiruthiga Devi Murugavel,P. Ramadass,Rakesh Kumar Mahendran,A. Khan,Mohd Anul Haq,Sultan Alharby,Ahmed Alhussen +6 more
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References
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Proceedings ArticleDOI
Energy-efficient communication protocol for wireless microsensor networks
TL;DR: The Low-Energy Adaptive Clustering Hierarchy (LEACH) as mentioned in this paper is a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network.
Journal ArticleDOI
An application-specific protocol architecture for wireless microsensor networks
TL;DR: This work develops and analyzes low-energy adaptive clustering hierarchy (LEACH), a protocol architecture for microsensor networks that combines the ideas of energy-efficient cluster-based routing and media access together with application-specific data aggregation to achieve good performance in terms of system lifetime, latency, and application-perceived quality.
Journal ArticleDOI
HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks
O. Younis,Sonia Fahmy +1 more
TL;DR: It is proved that, with appropriate bounds on node density and intracluster and intercluster transmission ranges, HEED can asymptotically almost surely guarantee connectivity of clustered networks.
Proceedings ArticleDOI
Improvement of LEACH protocol for WSN
TL;DR: This paper proposes a revised cluster routing algorithm named E-LEACH to enhance the hierarchical routing protocol LEACH, which considers the remnant power of the sensor nodes in order to balance network loads and changes the round time depends on the optimal cluster size.
Journal ArticleDOI
Mobile Sink-Based Adaptive Immune Energy-Efficient Clustering Protocol for Improving the Lifetime and Stability Period of Wireless Sensor Networks
TL;DR: A mobile sink-based adaptive immune energy-efficient clustering protocol (MSIEEP) that improves the lifetime, the stability, and the instability periods over the previous protocols, because it always selects CHs from high-energy nodes.