Inam Ullah Khan

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.

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

Collating and Analysing State-of-the-Art Hierarchical Routing Protocols in WSN to Increase Network Lifetime and Conserve Energy

The wireless sensor network has many sensor nodes that magnetized higher terms in recent years like high energy consumption and low the network lifespan. The aim of this paper is to conserve energy and increase network lifetime. The result is based on the comparison of the state of the art routing protocols e.g. Leach, Leach-Tlch, Teen, Apteen and Adaptive Threshold. The Leach is the base for all registered routing protocols and also the main reason of comparison with state-of-the-art protocols. Leach protocol has some drawbacks in it, Thus, the Teen and the Apteen surmounts the disadvantage faced by the Leach. However, to overcome the issues present in both the protocols, the Adaptive Threshold is integrated that produce some advanced terms for improvising the energy efficiency and the lifespan of WSNs. The primary objective of this paper is to compare and distribute the routing protocol whose consumption of energy decreases with the improvement in the networks lifetime. The proposed model describes the comparison made between the routing networks. The benefits of the model are to achieve the low energy consumption by the sensor nodes that increase the networks lifetime. Chart and tables evaluate the results.