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Wireless sensor network is a collection of distributed tiny sensor nodes, which sense the natural phenomenon and transmits the sensed information to the base station using multi-hop communication. Most of the existing systems use the routing techniques which consume lot of energy during data communication. Hence, the energy of sensor nodes depletes and results in decrease its lifetime. To overcome...
There is a drastic growth in the world population around the globe. This rapid development has resulted in progress of advanced techniques in field of life sciences and medicine leading to healthier environment to live in. But this adversely has drawback of increasing the population of older class of people who require much more sophisticated environment. In order to overcome this problem the Wireless...
One of the major challenges in a wireless sensor network (WSN) is to extend the network's lifetime by minimizing the energy consumption. One of the ways to do so is to reduce network congestion as it increases delays and introduces additional packet collisions- thus, adversely affecting network performance. In this paper, we analyze this issue in routing and take an evolutionary game theoretic approach...
Maximising the network lifetime is a challenging problem in sensor networks. This paper proposes an evolutionary clustering routing algorithm for heterogeneous wireless sensor networks (WSN). The method combines genetic algorithms (GA), ant colony optimisation algorithms (ACO) and clustering method. It explores the tradeoff between the algorithm complexity and transmitted energy. Experiment results...
Wireless Sensor Networks (WSNs) have become increasingly popular in recent years for controlling systems where human intervention is undesirable or impossible. The main challenges in designing and planning the operations WSNs are to optimize the energy consumption of sensor nodes and prolong the network lifetime. Hierarchical routing protocols are proven to be efficient to drastically reduce the energy...
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