A rule based delay constrained energy efficient routing technique for wireless sensor networks
| Autor: | A. Kannan, M. Selvi, Sannasi Ganapathy, P. Velvizhy, H. Khanna Nehemiah |
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| Rok vydání: | 2017 |
| Předmět: |
Dynamic Source Routing
Computer Networks and Communications Computer science Distributed computing Network delay Throughput Geographic routing 02 engineering and technology 0202 electrical engineering electronic engineering information engineering Mobile wireless sensor network Network performance Destination-Sequenced Distance Vector routing Static routing business.industry Network packet 020206 networking & telecommunications Energy consumption Key distribution in wireless sensor networks Link-state routing protocol Shortest path problem Multipath routing 020201 artificial intelligence & image processing business Wireless sensor network Software Efficient energy use Computer network |
| Zdroj: | Cluster Computing. 22:10839-10848 |
| ISSN: | 1573-7543 1386-7857 |
| Popis: | In wireless sensor networks (WSN), the nodes are used to collect and gather the data from different environments. Hence, the network consumes more energy which is the main and challenging issue in WSNs. Since the sensor is operating under battery, recharging is impossible and hence the lifetime of each sensor is an important issue. Therefore, it is necessary to introduce new and efficient techniques to extend the network lifetime. In this paper, a new delay constrained energy efficient routing technique is proposed for performing effective routing in WSNs. This approach introduces a delay constraint based reliable routing approach which reduces the energy consumption by constructing efficient clusters without increasing the end-to-end delay. Moreover, the proposed technique called the rule based clustering for routing model provides better performance in terms of network lifetime than the other existing techniques since they consume more energy during the formation of clusters and finding the shortest path. Moreover, additional overhead on the cluster head selection is tackled also using rules in this proposed model in an efficient manner by building balanced clusters. The main advantage of the proposed approach is that it extends the lifetime of the network and increases the throughput, energy efficiency, link quality and scalability. The experimental verification of this technique has been carried out using MATLAB simulations and proved that this model increases the packet delivery rate, network performance and reduces the delay and energy consumption. |
| Databáze: | OpenAIRE |
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