Abstract
Wireless sensor networks have been attracting research attention for the past decade and will continue to be a hot topic due to the emerging trend of Internet-of-Things (IoT). Edge computing for IoT (Edge-IoT) is a promising framework that can help low-powered sensor networks to conduct complex computational tasks. Different from the existing works that focus on cooperative task execution for edge and sensor networks, in this paper, we investigate the problem of reliable data transmission in edge-aided sensor networks. Firstly, we discuss how edge servers can help to improve the data transmission of sensor networks. Secondly, we propose a forwarding scheme for edge nodes to forward packets according to coverage and corresponding interference. Thirdly, we propose an edge-based error recovery approach. By employing edge servers for data transmission and error recovery, the efficiency and reliability of data transmissions can be largely improved.
Highlights
The recent advances of low-power wireless communications and computation have led to the development of low power sensor networks (WSNs) for the Internet of Things (IoT)
Chen et al manages the task offloading for ultra-dense wireless networks [17]. While these works focus on the task execution and resource optimization, we argue that edge computing servers can be a very powerful tool to improve the data transmissions in sensor networks in terms of both efficiency and reliability
From the cumulated distribution function (CDF) of link quality values in the network, we can see that 80% of links have link quality smaller than 80%, which means 20 packets are likely to be lost in every 100 transmissions
Summary
The recent advances of low-power wireless communications and computation have led to the development of low power sensor networks (WSNs) for the Internet of Things (IoT). As various mobile applications have emerged and attracted much attention from both research and industry, WSNs are attracting more and more research efforts [1,2]. WSN-based applications cover large-area monitoring [3,4], smart grid [1], health care [5,6], smart homes [7], green buildings [8,9], etc. Different from the existing works on sensor networks, the IoT oriented WSNs are often required to undertake more computational and communicational tasks [1]. In smart city scenarios, sensor networks can be used for counting crowd or detecting people’s identities [10,11]
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