SINR Driven Joint Network Selection Policy in the Heterogeneous Internet of Things

In the heterogeneous Internet of things (IoT), the Signal to interference plus noise ratio (SINR) and delay constraint are two important factors that influence the throughput of IoT and the performance of users. Until recently, most network selection policy researches were based on either the Shanno...

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Bibliographic Details
Published inChinese Journal of Electronics Vol. 26; no. 4; pp. 842 - 848
Main Authors Liu, Xinyi, Jiang, Jian
Format Journal Article
LanguageEnglish
Published Published by the IET on behalf of the CIE 01.07.2017
Subjects
Delay constraint
heterogeneous Internet of Things
Heterogeneous network
interference (signal)
Internet of Things
Internet of things (IoT)
IoT
Joint network selection policy
resource utilization
Shannon theory
signal strength constraints
signal to interference plus noise ratio
Signal to interference plus noise ratio (SINR)
SINR driven joint network selection policy
Internet of Things
delay constraint
Shannon theory
Joint network selection policy
SINR driven joint network selection policy
IoT
interference (signal)
heterogeneous Internet of Things
signal strength constraints
Heterogeneous network
Internet of things (IoT)
Signal to interference plus noise ratio (SINR)
signal to interference plus noise ratio
resource utilization
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Summary:In the heterogeneous Internet of things (IoT), the Signal to interference plus noise ratio (SINR) and delay constraint are two important factors that influence the throughput of IoT and the performance of users. Until recently, most network selection policy researches were based on either the Shannon theory or the signal strength, while the combined influence of the delay constraint and the SINR, which has a significant impact on resource utilization, is hardly considered. We therefore propose an SINR driven joint network selection policy, which incorporates the delay constraint and the signal strength into the SINR. This policy permits IoT users to access the network with the maximum of SINR from all the available networks under the delay and signal strength constraints. Theoretical analysis and the simulation results show that the joint network selection policy can obtain the higher throughput of IoT and average SINR comparing with other polices.
Bibliography:In the heterogeneous Internet of things（Io T）, the Signal to interference plus noise ratio（SINR）and delay constraint are two important factors that influence the throughput of Io T and the performance of users.Until recently, most network selection policy researches were based on either the Shannon theory or the signal strength, while the combined influence of the delay constraint and the SINR, which has a significant impact on resource utilization, is hardly considered. We therefore propose an SINR driven joint network selection policy, which incorporates the delay constraint and the signal strength into the SINR. This policy permits Io T users to access the network with the maximum of SINR from all the available networks under the delay and signal strength constraints.Theoretical analysis and the simulation results show that the joint network selection policy can obtain the higher throughput of Io T and average SINR comparing with other polices.
Internet of things（IoT） ;Heterogeneous network Joint ;network selection policy Signal to interfer ence plus noise; ratio（SINR） Delay constraint
10-1284/TN
ISSN:1022-4653
2075-5597
DOI:10.1049/cje.2017.05.004