Analysis of Qos Aware Cloud Based Routing for Improved Security

The recent advances and the convergence of micro electro-mechanical systems technology, integrated circuit technologies, microprocessor hardware and Nano-technology, wireless communications, Ad-hoc networking routing protocols, distributed signal processing, and embedded systems have made the concept of Wireless Sensor Networks (WSNs). Sensor network nodes are limited with respect to energy supply, restricted computational capacity and communication bandwidth. Most of the attention, however, has been given to the routing protocols since they might differ depending on the application and network architecture. To prolong the lifetime of the sensor nodes, designing efficient routing protocols is critical. Even though sensor networks are primarily designed for monitoring and reporting events, since they are application dependent, a single routing protocol cannot be efficient for sensor networks across all applications. In this paper, we analyze the design issues of sensor networks and present a classification and comparison of routing protocols. This comparison reveals the important features that need to be taken into consideration while designing and evaluating new routing protocols for sensor networks. A reliable transmission of packet data information, with low latency and high energy-efficiency, is truly essential for wireless sensor networks, employed in delay sensitive industrial control applications. The proper selection of the routing protocol to achieve maximum efficiency is a challenging task, since latency, reliability and energy consumption are inter-related with each other. It is observed that, Quality of Service (QoS) of the network can improve by minimizing delay in packet delivery, and life time of the network, can be extend by using suitable energy efficient routing protocol

Enhanced EQSR based QoS Mechanism for Wireless Sensor Networks

Wireless sensor networks are widely used in real-time applications. Due to the resource limited nature of sensor networks providing Quality of Service (QoS) is quiet interesting and challenging task for the researchers in recent years. The QoS based schemes require to cope up with the energy constrained smaller devices. Therefore, allowing QoS applications in sensor networks mandate it to implement in separate layers. In this work an enhanced version of Energy Efficient Quality of Service Routing (EQSR) is offered. The enhanced EQSR maximizes the task of the application in mixed delay sensitive and delay tolerant applications. The scheme balances the energy by distributing the traffic in a disperse manner that guaranties the delay sensitive packets to be forwarded on time within the tolerable delay. By conducting simulations with varying scenarios the performance of the protocol is evaluated and compared with the base EQSR. The simulation results have proven that the enhanced EQSR works better by lowering the energy and increasing the packet delivery ratio

Energy-efficient Routing in Wireless Sensor Networks for Delay Sensitive Applications

The advances of wireless technologies at a rapid pace along with sophisticated embedded computing systems have led to the emergence of un-attended Wireless Sensor Networks (WSNs).Regardless of the energy limitations in the sensor nodes; WSNs have enabled a plethora of new services and applications. While several energy efficient routing protocols have been proposed to address the energy limitations of the sensors, they tend to increase the end-to-end delay involved in data transmission to the control center. This leads to the Delay-Constrained, Energy-Efficient Routing Problem (DCEERP) in many WSNs applications. This thesis work proposes a novel energy efficient routing strategy to solve DCEERP that employs topology control and also models the channel access delays caused by 802.11 like MAC layers.This in turn, allows us to obtain better estimates for the end-to-end delays of the paths. Experimental results show that the proposed solution is effective in satisfying the delay constraint and also reduces the energy consumption in transmission when compared to conventional solutions. Also, the proposed solution solves the DCEERP for more generalized communication patterns thereby allowing better utilization of network resources.Computer Science Departmen

EEQRP-Energy Efficient Quality Routing Protocol for Wireless Sensor Networks

Emerging technology of research is increasing requirement for a real-time application in Wireless Sensor Networks (WSNs) has made the quality based communication protocols an interesting and hot research topic.  Satisfying quality requirements for the different quality based applications of WSNs raises significant challenges.  More precisely, the networking protocols need to cope up with energy constraints, while providing precise quality guarantee.  Therefore, enabling quality applications in sensor networks requires energy and quality awareness in different layers of the protocol stack.  In many of these applications, the network traffic is mixed of delay sensitive and delay tolerant traffic. Hence, Quality of Service (QoS) routing becomes an important issue.  The main objective of this idea is to develop the path for quality of network and to further improve throughput, routing overhead and bandwidth and at the same time to create energy enhanced way with excellent QoS.  In this research paper, the propose model an Energy Efficient Quality Routing Protocol (EEQRP) technique based on energy efficient protocol that can be used to design fast, tiny, more energetic and efficient way then existing routing protocols, they evaluate and compare the performance of our routing protocol (EEQRP).  Network Simulator (NS2) is used to carry out and test the proposed system achieves lower average delay, more energy savings, and higher packet delivery ratio than the existing protocol

Two-Hop Routing with Traffic-Differentiation for QoS Guarantee in Wireless Sensor Networks

This paper proposes a Traffic-Differentiated Two-Hop Routing protocol for Quality of Service (QoS) in Wireless Sensor Networks (WSNs). It targets WSN applications having different types of data traffic with several priorities. The protocol achieves to increase Packet Reception Ratio (PRR) and reduce end-to-end delay while considering multi-queue priority policy, two-hop neighborhood information, link reliability and power efficiency. The protocol is modular and utilizes effective methods for estimating the link metrics. Numerical results show that the proposed protocol is a feasible solution to addresses QoS service differenti- ation for traffic with different priorities.Comment: 13 page

Traffic eavesdropping based scheme to deliver time-sensitive data in sensor networks

Due to the broadcast nature of wireless channels, neighbouring sensor nodes may overhear packets transmissions from each other even if they are not the intended recipients of these transmissions. This redundant packet reception leads to unnecessary expenditure of battery energy of the recipients. Particularly in highly dense sensor networks, overhearing or eavesdropping overheads can constitute a significant fraction of the total energy consumption. Since overhearing of wireless traffic is unavoidable and sometimes essential, a new distributed energy efficient scheme is proposed in this paper. This new scheme exploits the inevitable overhearing effect as an effective approach in order to collect the required information to perform energy efficient delivery for data aggregation. Based on this approach, the proposed scheme achieves moderate energy consumption and high packet delivery rate notwithstanding the occurrence of high link failure rates. The performance of the proposed scheme is experimentally investigated a testbed of TelosB motes in addition to ns-2 simulations to validate the performed experiments on large-scale network

A critical analysis of research potential, challenges and future directives in industrial wireless sensor networks

In recent years, Industrial Wireless Sensor Networks (IWSNs) have emerged as an important research theme with applications spanning a wide range of industries including automation, monitoring, process control, feedback systems and automotive. Wide scope of IWSNs applications ranging from small production units, large oil and gas industries to nuclear fission control, enables a fast-paced research in this field. Though IWSNs offer advantages of low cost, flexibility, scalability, self-healing, easy deployment and reformation, yet they pose certain limitations on available potential and introduce challenges on multiple fronts due to their susceptibility to highly complex and uncertain industrial environments. In this paper a detailed discussion on design objectives, challenges and solutions, for IWSNs, are presented. A careful evaluation of industrial systems, deadlines and possible hazards in industrial atmosphere are discussed. The paper also presents a thorough review of the existing standards and industrial protocols and gives a critical evaluation of potential of these standards and protocols along with a detailed discussion on available hardware platforms, specific industrial energy harvesting techniques and their capabilities. The paper lists main service providers for IWSNs solutions and gives insight of future trends and research gaps in the field of IWSNs