Abstract
Resource allocation has always been a key technology in wireless sensor networks (WSN), but most of the traditional resource allocation algorithms are based on single interface networks. The emergence and development of multi-interface and multichannel networks solve many bottleneck problems of single interface and single channel networks, it also brings new opportunities to the development of wireless sensor networks, but the multi-interface and multichannel technology not only improves the performance of wireless sensor networks but also brings great challenges to the resource allocation of wireless sensor networks. Edge computing changes the traditional centralized cloud computing processing method into a method that reduces computing storage capacity to the edge of the network and faces users and terminals. Realize the advantages of lower latency, higher bandwidth, and fast response. Therefore, this paper proposes a joint optimization algorithm of resource allocation based on edge computing. We establish a wireless sensor allocation model and then propose our algorithm model combined with the advantages of edge computing. Compared with the traditional allocation algorithm (PCOA, MCMH, and TDMA), it can further improve the resource utilization, reduce the network energy consumption, increase network capacity, and reduce the complexity of the schemes.
Highlights
Wireless sensor networks (WSN) are a kind of distributed sensor network
Self-organization, low cost, and wide coverage area, it is widely used in military, computer, and communications, aerospace, and other fields. e application prospect of wireless sensor network is very broad, which can be widely used in environmental monitoring and forecasting, health care, smart home, building condition monitoring, complex machinery monitoring, urban traffic, space exploration, large workshop, and warehouse management, as well as airport, large industrial park safety monitoring, and other fields [1,2,3]. erefore, scholars draw on the model of cloud computing and propose a computing model of cloud computing, which expands the physical medium of the device, so that it can meet the resource requirements of various applications
E resources in wireless sensor networks usually refer to limited resources such as channels, energy, time slots, and radio frequencies [4]. e resource allocation of wireless sensor networks refers to the coordination of various resources through resource allocation schemes under limited resource constraints and achieves improved resource utilization, reduced interference, improved service quality, and maximized network throughput and network capacity the goal of
Summary
Wireless sensor networks (WSN) are a kind of distributed sensor network. Its terminal is the sensor that can sense and check the outside world. e sensors in WSN communicate through wireless mode, so the network settings are flexible, the location of devices can be changed at any time, and they can connect with the Internet in wired or wireless mode. Literature [8,9,10,11] comprehensively considered factors such as link effective capacity, network interference and flow conservation, and established a congestion avoidance model for joint power control and channel allocation. Literature [14] considers the impact of power control and channel allocation on network performance and considers the impact of node rate allocation and layer network frequency on the network and proposes a cross-layer resource configuration joint design method. From the perspective of research goals, devices have developed rapidly in recent years, the battery life is always an unbreakable bottleneck, which largely restricts the development of devices To this end, it is possible to further optimize resource management under the edge computing architecture, reasonably allocate resources to improve power efficiency, and use limited power as much as possible to perform more tasks.
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