Internet of Things (IoT) is connected to heterogeneous devices. Efficient adaptive scheduling with encoding and decoding of data is an unaddressed issue in IoT. This paper processes the data under three major hierarchy: namely, adaptability, scheduling of data, and network coding for that data. The reliable access to the information is ensured by a device which is a primary eminence in IoT. Device must be able to adapt itself according to the changes in the network and to maintain its reliability as well as transparency and seamless access to the resources. To enhance the performance of the data dissemination, the scheduling process is investigated using the spatial grouping in IoT devices; this is achieved by joint spatial and code domain scheduling scheme, and the novel preconfigured access scheme is coined in order to minimize the collision rate of arbitrary access; during the data dissemination, the erasure coding scheme is used for the encoding and decoding of packets which provides optimal redundancy. We carried the simulation using Contiki and it shows the proposed Polymorphic Erasure Coding with Markov decision Adaptability and Neural networks (PECMAN) improves in terms of cost, overhead, and delay when compared with Multi‐user Shared Access (EMUSA), Polynomial‐time Optimal Storage Allocation (OSA) scheme, and Event‐Aware Back pressure Scheduling Scheme (EABS).

中文翻译：

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IoT网络中具有互操作性的数据分发

物联网（IoT）连接到异构设备。具有数据编码和解码的有效自适应调度是物联网中尚未解决的问题。本文按照以下三个主要层次处理数据：适应性，数据调度和该数据的网络编码。物联网中最重要的设备是确保对信息的可靠访问。设备必须能够根据网络的变化进行自我调整，并保持其可靠性以及透明性和对资源的无缝访问。为了提高数据分发的性能，使用物联网设备中的空间分组来研究调度过程；这是通过联合空间和代码域调度方案来实现的，为了降低任意访问的冲突率，提出了新颖的预配置访问方案。在数据分发期间，擦除编码方案用于分组的编码和解码，这提供了最佳的冗余。我们使用Contiki进行了仿真，结果表明拟议的具有马尔可夫决策适应性的多态擦除编码和神经网络（PECMAN）与多用户共享访问（EMUSA），多项式时间最优相比在成本，开销和延迟方面都有所改善存储分配（OSA）方案和事件感知背压调度方案（EABS）。