Volume 13, Number 1

Context Information Aggregation Mechanism Based on Bloom Filters (CIA-BF) for High Performance Monitoring Applications of Internet of Things

  Authors

Fawaz Alassery and Maha M. Althobaiti, Taif University, Saudi Arabia

  Abstract

Internet of Things (IoT) has become a popular technology in recent years. Different IoT applications such as traffic control, environment monitoring, etc. contain many sensor devices, routers, actuators, edge routers, and Base Stations (BS) which communicate with each other and send millions of data packets that need to be delivered to their destination nodes successfully to ensure the High-performance communication networks. IoT devices connect to the Internet using wired or wireless communication channels where most of the devices are wearable, which means people slowly move from one point to another or fast-moving using vehicles. How to ensure high performance of IoT data networks is an important research challenge while considering the limitation of some IoT devices that may have limited power resources or limited coverage areas. Many Kinds of research focus on how to customize routing protocols to be efficient for IoT devices. The traditional routing mechanisms utilized specific IP addresses to identify users while in IoT it is more beneficial to identify a group of users (things) based on any contexts, status, or values of their resources such as the level of their batteries (e.g., low, medium or high). While IoT devices have different characteristics, a multicasting mechanism to send one message to various groups of devices will not be efficient in IoT communication networks since the aggregation of packets is very difficult. Thus, it is useful to propose a mechanism that able to filter data packets that need to be sent to a specific group of devices. In this paper, we propose efficient context-aware addressing mechanism, which is based on bloom filters to increase the performance of IoT communication networks. A routing architecture is built based on bloom filters which store routing information. In our works, we reduce the size of routing information using a proposed aggregation mechanism which is based on connecting each group of IoT devices with an edge router which is hierarchically connected to an upper router after operating its bloom filter. Our simulation results show a significant improvement in the IoT performance metrics such as packets transmission delay, jitter the throughput, packets dropping ratio, and the energy consumption in comparison with well-known routing protocols of IoT such as Destination Sequenced Distance Vector routing protocol (DSDV), and Ad hoc On-demand Distance Vector routing protocol (AODV).

  Keywords

Internet of Things, context-aware addressing, bloom filters, High-performance IoT, routing in IoT. Packets aggregation mechanism.