1 research outputs found
Cluster Heads Selection and Cooperative Nodes Selection for Cluster-based Internet of Things Networks
PhDClustering and cooperative transmission are the key enablers in power-constrained Internet
of Things (IoT) networks. The challenges for power-constrained devices in IoT networks
are to reduce the energy consumption and to guarantee the Quality of Service
(QoS) provision. In this thesis, optimal node selection algorithms based on clustering
and cooperative communication are proposed for different network scenarios, in particular:
• The QoS-aware energy efficient cluster heads (CHs) selection algorithm in one-hop
capillary networks. This algorithm selects the optimum set of CHs and construct
clusters accordingly based on the location and residual energy of devices.
• Cooperative nodes selection algorithms for cluster-based capillary networks. By
utilising the spacial diversity of cooperative communication, these algorithms select
the optimum set of cooperative nodes to assist the CHs for the long-haul transmission.
In addition, with the regard of evenly energy distribution in one-hop
cluster-based capillary networks, the CH selection is taken into consideration when
developing cooperative devices selection algorithms.
The performance of proposed selection algorithms are evaluated via comprehensive simulations.
Simulation results show that the proposed algorithms can achieve up to 20%
network lifetime longevity and up to 50% overall packet error rate (PER) decrement.
Furthermore, the simulation results also prove that the optimal tradeoff between energy
efficiency and QoS provision can be achieved in one-hop and multi-hop cluster-based
scenarios.Chinese Scholarship Counci