Abstract
Energy efficiency is the major concern in hierarchical wireless sensor networks(WSNs), where the major energy consumption originates from radios for communication. Due to notable energy expenditure of long-range transmission for cluster members and data aggregation for Cluster Head (CH), saving and balancing energy consumption is a tricky challenge in WSNs. In this paper, we design a CH selection mechanism with a mobile sink (MS) while proposing relay selection algorithms with multi-user multi-armed bandit (UM-MAB) to solve the problem of energy efficiency. According to the definition of node density and residual energy, we propose a conception referred to as a Virtual Head (VH) for MS to collect data in terms of energy efficiency. Moreover, we naturally change the relay selection problem into permutation problem through employing the two-hop transmission in cooperative power line communication, which deals with long-distance transmission. As far as the relay selection problem is concerned, we propose the machine learning algorithm, namely MU-MAB, to solve it through the reward associated with an increment for energy consumption. Furthermore, we employ the stable matching theory based on marginal utility for the allocation of the final one-to-one optimal combinations to achieve energy efficiency. In order to evaluate MU-MAB, the regret is taken advantage to demonstrate the performance by using upper confidence bound (UCB) index. In the end, simulation results illustrate the efficacy and effectiveness of our proposed solutions for saving and balancing energy consumption.
Highlights
Wireless sensor networks (WSNs) have recently gained increasing popularity in ubiquitous support of sensing system services which periodically sense and transmit collected data to the Sink [1], and has widely involved many applications including modern industrial processes and automation, environment monitoring, intelligent transportation, and military surveillance [2], [3]
1) we propose a Cluster Head (CH) selection mechanism based on definitions of node density and residual energy to relieve the burden of CH while reducing and balancing energy consumption of the cluster
We propose the definition of Virtual Head(VH) based on Neighbor Node Set to achieve equalization in terms of transmission distance
Summary
Wireless sensor networks (WSNs) have recently gained increasing popularity in ubiquitous support of sensing system services which periodically sense and transmit collected data to the Sink [1], and has widely involved many applications including modern industrial processes and automation, environment monitoring, intelligent transportation, and military surveillance [2], [3]. In the process of building the multi-hop cluster, we propose multi-user multi-armed bandit (MU-MAB) algorithms for relay selection to reduce and balance energy consumption without prior knowledge. 1) we propose a CH selection mechanism based on definitions of node density and residual energy to relieve the burden of CH while reducing and balancing energy consumption of the cluster. In this case, nodes with long-distance transmission to CH are separated, whose data should be transferred by the relay node. 3) In order to achieve energy optimization in terms of multi-hop transmission, we proposed MU-MAB for relay selection without prior knowledge to reduce and balance energy consumption.
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