Design And Implementation Of Space-Dense Wireless Sensor Networks

Recently the demand for scale and spatial density is increasing rapidly, due to more and more widely application of IoT. Since wireless sensor network, which is the basic technology of IoT, are resource-limit and low-rate, it becomes an urge demand to provide efficient management and expansion of capacity.Existing WSNs management technology aims at solving the scale problem of wireless sensor networks, but there is lack of solution for space-dense WSN applications. Thus, this article proposes an efficient solution with the existing hardware and bandwidth resource to solve that problem. That solution absorbs some existing large-scale WSN management technology to support high space-dense WSN application.This article discussesthe architecture of WSNs and a typical protocol ZigBee to review the character of different topology structures including centralized management systems, distributed management systems and hierarchical network management. This article analyses their advantage and disadvantage in function, performance and cost after a deep look into those architectures. Based on that, we propose a centralized-hierarchical architecture which employs a non-WSN method to solve problems of WSN about the bottleneck of data communication in WSNs. That solution can improve both channel utilizationand system throughput. A series of instruction sets and communication protocols are developed to support that solution independently. The solution employs 3-tier high rate heterogeneousmodel that improves the performance of WSNs within space-dense condition. Typically a system with ZigBee hardware that employs that solution can provide up to 16 times node capacity than that in traditional single PAN. Theoreticallythe system can support more than 65536×16 node.The solution can provide compatibility of existing small-scale WSNs. It can improve both communication and process capacity of the whole system by using inter-HC-Subnetwork load balance technology.Experiments prove that the solution can support space-dense multi-cluster WSNs, the simulation proves that that design can improve communication quality effectively.