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The IoT-Fog framework is tested using 5 local IoT nodes and 2 remote IoT nodes. The NoSQL database software is used to store the records fetched from blockchain in the fogging by the tool named OPENSHIFT platform. Cloud is created by Amazon, bandwidth of the system is shown in Figure 3. The FogSim software is used to connect the IoT devices to the fogging. Performance evaluation of IoT nodes in the IoT-Fog is represented in Figure 4. The results are found in Table 2. Now, according to (3), we have to calculate the bandwidth of the framework as shown in Table 1.

Figure 3 The IoT-Fog framework is tested using 5 local IoT nodes and 2 remote IoT nodes. The NoSQL database software is used to store the records fetched from blockchain in the fogging by the tool named OPENSHIFT platform. Cloud is created by Amazon, bandwidth of the system is shown in Figure 3. The FogSim software is used to connect the IoT devices to the fogging. Performance evaluation of IoT nodes in the IoT-Fog is represented in Figure 4. The results are found in Table 2. Now, according to (3), we have to calculate the bandwidth of the framework as shown in Table 1.

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- In BT is a series of blocks. The size of a block (BS) in blockchain can be obtained by the following formula [8]: In BT is a series of blocks. The size of a block (BS) in blockchain can be obtained by the following formula [8]:
- In BT is a series of blocks. The size of a block (BS) in blockchain can be obtained by the following formula [8]: In BT is a series of blocks. The size of a block (BS) in blockchain can be obtained by the following formula [8]:
Figure 2. IoT Nodes connected in the P2P network Consider the 5 IoT nodes (Figure 2) connected with the P2P network with the mining energy 500,1000, 300, 700, and 1500 respectively. They are able to do transactions in the proposed framework. Suppose the size of the header is 100 bytes and the size of the transaction is 500 bytes. The IoT nodes in the framework are five. Using (1), we have calculated the block size. BS (in MB) = HS (in Byes) + TS (in Bytes) * No of transactions in that block BS=100+500*5=2600 MB By using (2), we have calculated the total mining energy
Figure 2. IoT Nodes connected in the P2P network Consider the 5 IoT nodes (Figure 2) connected with the P2P network with the mining energy 500,1000, 300, 700, and 1500 respectively. They are able to do transactions in the proposed framework. Suppose the size of the header is 100 bytes and the size of the transaction is 500 bytes. The IoT nodes in the framework are five. Using (1), we have calculated the block size. BS (in MB) = HS (in Byes) + TS (in Bytes) * No of transactions in that block BS=100+500*5=2600 MB By using (2), we have calculated the total mining energy
Table 2. Performance evaluation of IoT nodes in the IoT-Fog 4, CONCLUSION VM itwEevuvivit The proposed research is the step forward in the area of internet of things and blockchain technology The middleware framework is implemented and tested in the virtually created heterogeneous environment of the 5G network. The data of the secured transactions are stored in the blocks of the blockchain. The verified blocks by the miners are only entered into the blockchain network and linked to the blockchain by using the secured encrypted hash code. In the performance evaluation of the framework, all the possible factors such as Delay by IoT Node, Delay by Network, Node Energy, Mobility Energy, Fog Energy, Execution Time and Network Usage are evaluated.
Table 2. Performance evaluation of IoT nodes in the IoT-Fog 4, CONCLUSION VM itwEevuvivit The proposed research is the step forward in the area of internet of things and blockchain technology The middleware framework is implemented and tested in the virtually created heterogeneous environment of the 5G network. The data of the secured transactions are stored in the blocks of the blockchain. The verified blocks by the miners are only entered into the blockchain network and linked to the blockchain by using the secured encrypted hash code. In the performance evaluation of the framework, all the possible factors such as Delay by IoT Node, Delay by Network, Node Energy, Mobility Energy, Fog Energy, Execution Time and Network Usage are evaluated.
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