Proceedings ArticleDOI
Energy efficient dynamic shortest path routing in wireless Ad hoc sensor networks using genetic algorithm
R. Nallusamy,K. Duraiswamy,D. Ayya Muthukumar,C. Sathiyakumar +3 more
- pp 1-5
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TLDR
The results show that the GA is efficient for energy constrained WASNs due to their fastness in computation comparing to all other algorithms.Abstract:
Wireless sensor networks are catching up as the primary mode for monitoring and collecting data in physically challenging environments. They find applications in various fields varying from environment monitoring, military applications to monitoring patients in hospitals. The constraints due to their inherent features make routing in wireless sensor networks a big challenge. This paper covers Genetic algorithm (GA) based simple straight forward, address based shortest path routing in Wireless ad hoc sensor networks (WASN). The routing in packet switched multi-hop networks can be described as a classical combinatorial optimization problem i.e. a shortest path routing problem in graphs. The stress is on energy efficient routing where the network optimizes between efficient routing and maximizing life of the network. The results show that the GA is efficient for energy constrained WASNs due to their fastness in computation comparing to all other algorithms.read more
Citations
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Book ChapterDOI
Energy-Efficient Routing Algorithm in Wireless Sensor Networks
TL;DR: The experimental results show that there is a significant improvement in energy saving, network, and other energy output as-aware routing protocol.
Journal ArticleDOI
Enhancement of Energy Conservation Technologies in Wireless Sensor Network
TL;DR: In this research, combination of routing and solar power is analyzed as enhancement of energy conservation technology (EECT) which increases the lifetime of the sensor node as well as the battery.
Genetic Algorithm based Multicast Routing in Wireless Sensor Networks - A Research Framework
J. Suresh Kumar,E. Babu Raj +1 more
TL;DR: An updated survey of genetic algorithm based multicast routing in wireless sensor networks as a classification is presented and a comparative study of all genetic algorithms based multicasts routing techniques in wireless Sensor networks is presented.
References
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Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Journal ArticleDOI
Wireless sensor networks: a survey
TL;DR: The concept of sensor networks which has been made viable by the convergence of micro-electro-mechanical systems technology, wireless communications and digital electronics is described.
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.
Energy-efficient communication protocols for wireless microsensor networks
TL;DR: LEACH (Low-Energy Adaptive Clustering Hierarchy), 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, is proposed.