QoS Enabled Probabilistic Routing for Heterogeneous Wireless Sensor Networks

Abstract

There is an increasing research interest in solving routing problems in Wireless Sensor Networks (WSN) and most of the existing routing protocols for WSN consider homogeneous nodes wherein, all sensor nodes have the same capabilities in terms of sensing, communication and computation capabilities. However, deployment of a homogeneous sensor network may suffer from poor performance. In this paper, we present a novel QoS routing scheme that adaptively learns an optimal routing strategy, depending on multiple optimization goals. We base our approach on Ant Colony Optimization (ACO) technique which is insensitive to initial setting, thus ideal in the context of WHSNs. The key feature of the protocol is its ability to meet diverse QoS requirements posed by different kinds of traffic generated due to heterogeneous nature of nodes thus maximizing network performance and utilization. Experimental results suggest a significant gain in the performance of proposed protocol over AODV protocol.

Traffic optimization in IoT networks

“…Therefore, in order to enable the nodes in the network to transmit data to each other, the routing protocol is required to provide the route between them that it determined. Since the IoT network is very large, which means a huge number of things, extreme network complexity and devices are resource constrained; The routing may be affected by frequent changes in topology and irregular connectivity that impose severe routing challenges [11]. Internet of Things ( IoT) is a wireless network, with nodes roaming freely.…”

Analysis of QoS in Software Defined Wireless Network with Spanning Tree Protocol

“…The main research gap at [14] is that it skips QoS analysis of the desired network. Rather at [22] has proposed an optimal routing strategy for heterogeneous wireless sensor network in term of QoS requirements. The main purpose of this was to ensure a better QoS.…”