Abstract
The main challenge of wireless sensor network is its lifetime. In this type of network, single static sink node is present; a sensor device node requires more energy for estimating information packet specifically those that are available in the area of the sink node. Such nodes separate the energy so fast due to the numerous tone traffic patterns and at the end they die. This uneven event is named as hotspot issue which gets more real as the numbers of sensor nodes increase. Generally, replacement of such energy sources is not a feasible and cost-effective solution. For this problem, there is one solution regarding to distance. If the distance among sensor and sink node is minimized, the energy consumption will be effectively reduced. This paper presents the solution for enhancing network lifetime with energy saving of sensor nodes. Here, we also discuss on the limitations and advantages of previous methods. The sensors nodes consume more battery power which is at minimum distance from sink node. Therefore, energy of sensor nodes in network will quickly consume their energy. So that, the lifetime of a sensor nodes will be produced. To overcome this drawback of this system, we propose alternate shortest path technique. To enhance the efficiency of energy along with network lifespan, this approach is used. Furthermore, we developed a novel technique known as Energy Aware Sink Relocation (EASR) for remote base station in WSN if the energy of alternate path is going to die. This system exploits information recognized with the remaining energy of sensor nodes battery for increasing the range of transmission of sensor node and relocation technique for the sink node in network. Some calculated numerical and theoretical calculations are given to demonstrate that the EASR strategy is used to increase the network energy of the remote system essentially. Our system proposes secure data sending using ECC algorithm and increases more network lifetime.
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References
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Suryawanshi, R., Kapoor, K., Patil, A. (2018). Routing with Secure Alternate Path Selection for Limiting the Sink Relocation and Enhanced Network Lifetime. In: Bhalla, S., Bhateja, V., Chandavale, A., Hiwale, A., Satapathy, S. (eds) Intelligent Computing and Information and Communication. Advances in Intelligent Systems and Computing, vol 673. Springer, Singapore. https://doi.org/10.1007/978-981-10-7245-1_21
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DOI: https://doi.org/10.1007/978-981-10-7245-1_21
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