Syed Bilal Hussain Shah

Energy and interoperable aware routing for throughput optimization in clustered IoT-wireless sensor networks

Since the nodes are battery operated and replenishment of battery is almost impossible especially when the nodes deployed at far distant and unattended areas. The extensive devices connected through Internet of Things (IoT) bring forth many challenges such as high battery power consumption, designing of smart e-health devices, construction of smart home control system, etc. However, among these challenges, network lifetime in the case of IoT embedded devices communications, battery lifetime of IoT devices, and deployment of sensor networks are the most prominent challenges exist in the current literature. Therefore, to extend the network lifetime and minimum utilization of battery, all the steps from node deployment to network architecture (in our case, we are considering clustered network architecture) and from sensing the environment to sharing the sensed data to the BS (i.e. routing) should be designed in a careful way. Decreasing the broadcasting of packets, and lessening the computation at the node level and minimizing the packet overhead play their important role in the conservation of energy that pushes toward better network throughput. In our under-discussed research work, we are in an aim to increase the network throughput by conserving the energy, especially during the routing process. Our work targets the constituent phases of cluster based aware energy routing for maximizing the throughput by decreasing the end-to-end delay, less packet drop ratio and improving network lifetime. Our strategies of customized, proactive routing, localized behavior strategies and in-network processing help in achieving our goal. Energy aware routing architecture for IoT paradigm is proposed.Enhanced the working of node deployment and sensing of data.Efficient transfer of data through proposed routing.The system is evaluated by comparing it to various routing protocols.

An efficient cluster designing mechanism for Wireless Sensor Networks

The routing protocols are of great importance to researchers which deal with the QoS, energy consumption, network design and packet overhead. This paper describes a new method for efficient performance of wireless sensor networks concentrating on cluster design strategy. The proposed approach Water-Rippling Shaped Clustering (WARIS), is a hybrid approach applies to cluster the large-scale network which looks like the shape of water rippling. It considers the parameters like per node energy consumption, total network energy consumption, the number of designed clusters and their member nodes, and the time spent during cluster design for evaluating the performance of competing algorithms. Major achievements are improved cluster design, energy aware cluster head (CH) selection method and reducing re-clustering overhead. Simulation results prove the enhancements.

Depth based routing protocol using smart clustered sensor nodes in underwater WSN

The underwater wireless sensor networks have been receiving a great attention towards the ocean monitoring systems in the past couple of years. They have different characteristics comparing with the territorial WSN, including the constrained bandwidth and limited power supply. Though, more work has been completed for developing protocols and models based on the terrestrial networks. These applications can rarely be applied for the applications and the products based on the underwater wireless sensor networks. Major works have been placed on the designing of the standard protocol with considerations of the underwater communication characteristics. With the use of the sensor nodes, more energy can be saved. The proposed system is based on the process of depth based routing protocol and it will be the basic idea of the proposed paper. The depth routing protocol is adapted into the process of checking the depth of sensor nodes. The cluster based routing protocol, is used in this paper for minimizing the consumption ratio of the energy and distributing the nodes equally to all the functions. The nodes may be damaged due to high load in the current system. The main issue will be faced is, constructing a standard clustering algorithm. In this paper, the underwater wireless sensor networks context term will be clustering and it will contribute the purpose of efficient use of the energy resources. The energy that is consumed by each node will be processed with equal probability for the selection of cluster head. Based on this type of processing, the stable time period of the network will be improved in the depth base routing (DBR). The cluster depth routing protocol will be used for forwarding the packets. By using this, it will maximize the overall performance of the network. The comparison is done on the various types of protocols used in it.

Ant colony based optimization technique to mitigate dynamic routing challenges in packet based networks

Efficient and effective routing protocols play a crucial and central role to measure the quality of service of the networks. Recent development in networking technologies like Software defined networks (SDN), Internet of things (IoT) and advancements in mobile and wireless communication has raised questions and concerns about the performance, scalability and reliability of the traditional routing schemes and protocols being used for years. The aim of this paper is to gauge the performance of various state of the art routing algorithms like distance vector, link state and session routing with ant colony-based optimization techniques used earlier for shortest path detection in various arrangements.

Deployment of reliable, simple, and cost-effective medium access control protocols for multi-layer flying ad-hoc networks

Driven by the recent advances in electronics and emergence of several radio communication technologies, the production of small unmanned aerial vehicles (UAVs) has paved the way for the creation of low-cost flying ad-hoc networks (FANETs). Mobility, lack of central control and self-organizing nature between the UAVs are the main features of FANETs, which could expand the connectivity and extend the communication range at infrastructure-less area. On one hand, in case of disastrous situations when ordinary communication infrastructure is not available, FANETs can be used to provide a rapidly deployable, flexible, and self-managed communication network for real-time data transmission. On the other hand, connecting UAVs in ad-hoc mode in such a way to achieve a desired level of Quality-of-Service (QOS) requirements in a cost-effective manner is a daunting task. At the moment complex, expensive and unreliable wireless communication protocols at MAC layer are practiced. However, to enable FANETs system ubiquitous, it is necessary to have a reliable, simple and cost-effective MAC protocols. This paper introduces a novel idea of employing both IEEE 802.15.1 and IEEE 802.11 for multilayer FANETs scenarios. In this approach, data transmission between the member UAVs is done by deploying a low cost and simple 802.15.1, whereas the backbone UAVs will be connected using 802.11 MAC protocol. The proposed scheme considerably reduces communication budget and optimizes network performance. The simulation results also authenticate that the proposed MAC protocols could significantly increase the performance of flying ad hoc networks in terms of delay and throughput.

Comparative Analysis and Route Optimization of State of the Art Routing Protocols

Performance of any network is based on the routing protocols. RIP, Session, OSPF and BGP are the few commonly used dynamic routing protocols used in today’s networks. Routing refers to the phenomenon of selecting the best available path to forward packets to its destination. It is a core feature for any network because the performance of the networks heavily depends upon it. In this paper we will perform comparative analysis by using Distance Vector, Link State and Session routing protocol. We will study Packet drop rate (PDR), Bandwidth / Link Utilization, End to End Delay, throughput behavior of these protocols by using network simulator 2 (ns2) for route optimization & comparative analysis to find optimal routing protocol