Abstract

Resource scheduling in a fair and efficient manner is a significant challenge in the Internet of Things. Although unequal clustering is an effective technique for alleviating the “energy holes” problem in multihop communication, resource scheduling based on unequal clustering is scarcely conducted. In the present study, a new resource scheduling based on unequal clustering in the Internet of Things (RSUC) is proposed. In RSUC, unequal clustering and multihop routing are considered, and the “energy holes” problem is alleviated effectively. RSUC includes resource scheduling of intracluster communication and intercluster communication. In resource scheduling of intracluster communication, according to the threshold of the number of cluster members, the cluster heads (CHs) recycle resources of failed nodes. In resource scheduling of intercluster communication, CHs in the different layers based on transmission chain obtain different sending and receiving time slots. In RSUC, CHs that are near the base station (BS) have fewer intracluster communication time slots and more intercluster communication time slots. Clusters that are further away from the BS end intercluster communication earlier and enter into intracluster communication instead of waiting for all CHs to complete intercluster communication. The simulation results reveal that RSUC significantly increases the network throughput and reduces the energy consumption of the Internet of Things.

Highlights

  • Related WorkClustering provides effective solutions to reduce energy consumption in the large-scale IoT

  • Introduction eInternet of ings (IoT) is commonly regarded as the third wave of the information industry after computers and the Internet. e development trend of the IoT will guide the development direction of information technology

  • In Resource scheduling based on unequal clustering (RSUC), multiple cluster heads (CHs) can communicate in parallel via effective joint allocation of time slots and channels

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Summary

Related Work

Clustering provides effective solutions to reduce energy consumption in the large-scale IoT. In previous research of the present authors, unequal clustering and a routing algorithm based on dynamic topology (DUCR) [19] were proposed, which could balance the network load and prolong the network lifetime. Senkar et al proposed an energy-saving clustering and routing protocol for the Internet of ings based on swarm intelligence [25], which uses a swarm algorithm to select cluster heads and reduce the delay of data to base stations. In considering the requirements of dynamic topology and multihop routing, efficient resource scheduling based on unequal clustering is proposed. The cluster heads recycle resources of failed nodes according to the threshold of the number of cluster members. Clusters that are further away from the BS end intercluster communication earlier and enter into intracluster communication instead of waiting for all CHs to complete intercluster communication, which improves time slot utilization and network throughput

Network Model
Proposed Resource Scheduling Based on Unequal Clustering
Theoretical Analysis
16 Variable Variable
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