Abstract
In this paper, we propose a network framework for dynamic IoT applications such as smart healthcare system, animal monitoring system, which supports the core IoT feature: scalability. The proposed framework uses hierarchical topology for node deployment. To support uniform energy consumptions, the network is divided into equal size zone so that network load can be distributed equally and network lifetime can be increased. To make this framework more realistic as animal monitoring and smart healthcare system, Random Waypoint Model is used for node mobility under scheme 1 and scheme 2. In scheme 1, nodes can move in entire network and in scheme 2 nodes can move in their respective zones only. To avoid long distance communication, some nodes are promoted as relay node, zone head and zone coordinator. Sensor nodes begin the communication via nearest relay node. Relay node forward the packets to the zone head and zone head transmits these packets to base stations via upper layer zone coordinator. In the RN selection, we consider the ratio of node to zone head (ZH) distance and their residual energy. The node with shortest ratio is selected as RN. The comparison has been made of the proposed framework with static model, mobile under scheme 1 and 2.
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Shukla, A., Tripathi, S. (2019). Analysis of Energy Efficient Framework for Static and Mobile Nodes in WSN-Assisted IoT. In: Prateek, M., Sharma, D., Tiwari, R., Sharma, R., Kumar, K., Kumar, N. (eds) Next Generation Computing Technologies on Computational Intelligence. NGCT 2018. Communications in Computer and Information Science, vol 922. Springer, Singapore. https://doi.org/10.1007/978-981-15-1718-1_23
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DOI: https://doi.org/10.1007/978-981-15-1718-1_23
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