Abstract
In sustainable smart cities, power saving is a severe challenge in the energy-constrained Internet of Things (IoT). Efficient utilization of limited multiple non-overlap channels and time resources is a promising solution to reduce the network interference and save energy consumption. In this paper, we propose a joint channel allocation and time slot optimization solution for IoT. First, we propose a channel ranking algorithm which enables each node to rank its available channels based on the channel properties. Then, we propose a distributed channel allocation algorithm so that each node can choose a proper channel based on the channel ranking and its own residual energy. Finally, the sleeping duration and spectrum sensing duration are jointly optimized to maximize the normalized throughput and satisfy energy consumption constraints simultaneously. Different from the former approaches, our proposed solution requires no central coordination or any global information that each node can operate based on its own local information in a total distributed manner. Also, theoretical analysis and extensive simulations have validated that when applying our solution in the network of IoT: (i) each node can be allocated to a proper channel based on the residual energy to balance the lifetime; (ii) the network can rapidly converge to a collision-free transmission through each node’s learning ability in the process of the distributed channel allocation; and (iii) the network throughput is further improved via the dynamic time slot optimization.
Highlights
The ubiquitous presence of devices combined with intelligent sensing [1,2], low-power operation [3,4], and communication ability [5,6] enable the rapid expansion of the Internet of Things (IoT).the IoT delivers a reliable, efficient, and greener energy transmission to better support services in sustainable smart cities
Theoretical analysis and extensive simulations have validated that when applying our solution in the network of IoT: (i) each node can be allocated to a proper channel based on the residual energy to balance the lifetime; (ii) the network can rapidly converge to a collision-free transmission through each node’s learning ability in the process of the distributed channel allocation; and (iii) the network throughput is further improved via the dynamic time slot optimization
Effective power management is very important in IoT [7], e.g., so that it can monitor the components of energy consumption and dynamically switch the state of each node
Summary
The ubiquitous presence of devices combined with intelligent sensing [1,2], low-power operation [3,4], and communication ability [5,6] enable the rapid expansion of the Internet of Things (IoT).the IoT delivers a reliable, efficient, and greener energy transmission to better support services in sustainable smart cities. The ubiquitous presence of devices combined with intelligent sensing [1,2], low-power operation [3,4], and communication ability [5,6] enable the rapid expansion of the Internet of Things (IoT). The challenges of IoT involve energy consumption, bandwidth requirement dynamic communication environment, and etc. The most severe challenge is that nodes are significantly influenced by limited battery capacity and it is difficult to replace or recharge their batteries in run-time. Effective power management is very important in IoT [7], e.g., so that it can monitor the components of energy consumption and dynamically switch the state of each node . In the distributed network, each node is difficult to autonomously save energy without any guideline
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