An Enhanced Distributed Data Aggregation Method in the Internet of Things

Abstract

“Internet of Things (IoT)” has emerged as a novel concept in the world of technology and communication. In modern network technologies, the capability of transmitting data through data communication networks (such as Internet or intranet) is provided for each organism (e.g. human beings, animals, things, and so forth). Due to the limited hardware and operational communication capability as well as small dimensions, IoT undergoes several challenges. Such inherent challenges not only cause fundamental restrictions in the efficiency of aggregation, transmission, and communication between nodes; but they also degrade routing performance. To cope with the reduced availability time and unstable communications among nodes, data aggregation, and transmission approaches in such networks are designed more intelligently. In this paper, a distributed method is proposed to set child balance among nodes. In this method, the height of the network graph increased through restricting the degree; and network congestion reduced as a result. In addition, a dynamic data aggregation approach based on Learning Automata was proposed for Routing Protocol for Low-Power and Lossy Networks (LA-RPL). More specifically, each node was equipped with learning automata in order to perform data aggregation and transmissions. Simulation and experimental results indicate that the LA-RPL has better efficiency than the basic methods used in terms of energy consumption, network control overhead, end-to-end delay, loss packet and aggregation rates.

Energy-Efficient Method for Wireless Sensor Networks Low-Power Radio Operation in Internet of Things

“…Therefore, each RSSI status check can be divided into two states: 8 internal symbols set for CC2420 radio hardware and 20 symbols for performing a reliable radio WakeUp on Rtimer equal to Equation (3). In fact, 8 and 20 symbols can be considered as the minimum and maximum periods required to perform a minimum radio check time, respectively.…”

“…In some situations, the nodes are in hard-to-reach areas, so their power supply is usually battery or harvest energy from the environment. In both models of power supply the management of power consumption in the nodes is mandatory, in the former case to avoid battery replacement and in latter case to reduce the cost of the energy harvesting system [1][2][3].…”

DCRL‐RPL: Dual context‐based routing and load balancing in RPL for IoT networks

“…Along with queue size, it also has taken the hop count and rank related parameters. Homaei et al [41] have offered effective load balancing mechanisms in the RPL-based network. It exploits learning automata-based RPL (LA-RPL) approach to aggregate the data from the IoT devices.…”

Energy and Delay Aware Data Aggregation in Routing Protocol for Internet of Things

“…Mohammad Hossein Homaei et al [20] proposed an enhanced data aggregation method for IoT. It proposed a distributed method to balance the child node and reduce the congestion among the nodes in the network.…”