Energy Consumption in Wireless Sensor Network

Energy is a limited resource in wireless sensor networks. In fact, the reduction of power consumption is crucial to increase the lifetime of low power sensor networks. Wireless sensor networks consist of small, autonomous devices with wireless networking capabilities. In order to further increase the applicability in real world applications, minimizing power consumption is one of the most critical issues. Therefore, accurate power model is required for the evaluation of wireless sensor networks. To estimate the lifetime of sensor node, the energy characteristics of sensor node are measured. Research in this area has been growing in the past few years given the wide range of applications that can benefit from such a technology. Based on the proposed model, the estimated lifetime of a battery powered sensor node can be increased significantly. Keywords—Sensor, Wireless Sensor Network, Energy Consumptio

Sensorsimulator: simulation framework for sensor networks

Wireless sensor networks have the potential to become significant subsystems of engineering applications. Before relegating important and safety-critical tasks to such subsystems, it is necessary to understand the dynamic behavior of these subsystems in simulation environments. There is an urgent need to develop a simulation platform that is useful to explore both the networking issues and the distributed computing aspects of wireless sensor networks. Current approaches to simulating wireless sensor networks largely focus on the networking issues. These approaches use well-known network simulation tools that are often difficult to extend to explore distributed computing issues. Discrete-event simulation is a trusted platform for modeling and simulation of a variety of systems. SensorSimulator is a discreet event simulation framework for sensor networks built over OMNeT++. It is a customizable and an extensible framework for wireless sensor network simulation. This framework allows the user to debug and test software for distributed sensor networks independent of hardware constraints. The extensibility of SensorSimulator allows developers and researchers to investigate topological, phenomenological, networking, robustness and scaling issues, to explore arbitrary algorithms for distributed sensors, and to defeat those algorithms through simulated failure. The framework provides modules for various layers. Applications can be implemented by using these framework modules by sub classing the framework classes and customizing their behavior at various network layers. We validate and demonstrate the usability of these capabilities through analyzing the simulation results of Directed Diffusion and GEAR. A comparison study of performance of SensorSimulator v/s NS2 for various network densities and traffic have shown that SensorSimulator is able to achieve higher scalability and requires less time for execution

Security wireless sensor networks: prospects, challenges, and future

With the advancements of networking technologies and miniaturization of electronic devices, wireless sensor network (WSN) has become an emerging area of research in academic, industrial, and defense sectors. Different types of sensing technologies combined with processing power and wireless communication capability make sensor networks very lucrative for their abundant use in near future. However, many issues are yet to be solved before their full-scale practical implementations. Among all the research issues in WSN, security is one of the most challenging topics to deal with. The major hurdle of securing a WSN is imposed by the limited resources of the sensors participating in the network. Again, the reliance on wireless communication technology opens the door for various types of security threats and attacks. Considering the special features of this type of network, in this chapter we address the critical security issues in wireless sensor networks. We talk about cryptography, steganography, and other basics of network security and their applicability in WSN. We explore various types of threats and attacks against wireless sensor networks, possible countermeasures, mentionable works done so far, other research issues, etc. We also introduce the view of holistic security and future trends towards research in wireless sensor network security

Can SDN Technology Be Transported to Software-Defined WSN/IoT?

© 2016 IEEE. Wireless sensor networks (WSNs) are essential elements of the Internet of Things ecosystem, as such, they encounter numerous IoT challenging architectural, management and application issues. These include inflexible control, manual configuration and management of sensor nodes, difficulty in an orchestration of resources, and virtualizing sensor network resources for on-demand applications and services. Addressing these issues presents a real challenge for WSNs and IoTs. By separating the network control plane from the data forwarding plane, Software-defined networking (SDN) has emerged as network technology that addresses similar problems of current switched-networks. Despite the differences between switched network and wireless sensor network domains, the SDN technology has a real potential to revolutionize WSNs/IoTs and address their challenging issues. However, very little has been attempted to bring the SDN paradigm to WSNs. This paper identifies weaknesses of existing research efforts that aims to bring the benefits of SDN to WSNs by mapping the control plane, the OpenFlow protocol, and the functionality between the two network domains. In particular, the paper investigates the difficulties and challenges in the development of software-defined wireless sensor networking (SDWSN). Finally, the paper proposes VSensor, SDIoT controller, SFlow components with specific and relevant functionality for an architecture of an SDWSN or SDIoT infrastructure

Simulation study of routing protocols in wireless sensor networks

Wireless sensor networks, a distributed network of sensor nodes perform critical tasks in many application areas such as target tracking in military applications, detection of catastrophic events, environment monitoring, health applications etc. The routing protocols developed for these distributed sensor networks need to be energy efficient and scalable. To create a better understanding of the performance of various routing protocols proposed it is very important to perform a detailed analysis of them. Network simulators enable us to study the performance and behavior of these protocols on various network topologies. Many Sensor Network frameworks were developed to explore both the networking issues and the distributed computing aspects of wireless sensor networks. The current work of simulation study of routing protocols is done on SensorSimulator, a discrete event simulation framework developed at Sensor Networks Research Laboratory, LSU and on a popular event driven network simulator ns2 developed at UC Berkeley. SensorSimulator is a discrete event simulation framework for sensor networks built over OMNeT++ (Objective Modular Network Test-bed in C++). This framework allows the user to debug and test software for distributed sensor networks. SensorSimulator allows developers and researchers in the area of Sensor Networks to investigate topological, phenomenological, networking, robustness and scaling issues, to explore arbitrary algorithms for distributed sensors, and to defeat those algorithms through simulated failure. The framework has modules for all the layers of a Sensor Network Protocol stack. This thesis is focused on the simulation and performance evaluation of various routing protocols on SensorSimulator and ns2. The performance of the simulator is validated with a comparative study of Directed Diffusion Routing Protocol on both ns2 and SensorSimulator. Then the simulations are done to evaluate the performance of Optimized Broadcast Protocols for Sensor Networks, Efficient Coordination Protocol for Wireless Sensor Networks on SensorSimulator. Also a performance study of Random Asynchronous Wakeup protocol for Sensor Networks is done on ns2

Security and Privacy in Heterogeneous Wireless and Mobile Networks: Challenges and Solutions

abstract: The rapid advances in wireless communications and networking have given rise to a number of emerging heterogeneous wireless and mobile networks along with novel networking paradigms, including wireless sensor networks, mobile crowdsourcing, and mobile social networking. While offering promising solutions to a wide range of new applications, their widespread adoption and large-scale deployment are often hindered by people's concerns about the security, user privacy, or both. In this dissertation, we aim to address a number of challenging security and privacy issues in heterogeneous wireless and mobile networks in an attempt to foster their widespread adoption. Our contributions are mainly fivefold. First, we introduce a novel secure and loss-resilient code dissemination scheme for wireless sensor networks deployed in hostile and harsh environments. Second, we devise a novel scheme to enable mobile users to detect any inauthentic or unsound location-based top-k query result returned by an untrusted location-based service providers. Third, we develop a novel verifiable privacy-preserving aggregation scheme for people-centric mobile sensing systems. Fourth, we present a suite of privacy-preserving profile matching protocols for proximity-based mobile social networking, which can support a wide range of matching metrics with different privacy levels. Last, we present a secure combination scheme for crowdsourcing-based cooperative spectrum sensing systems that can enable robust primary user detection even when malicious cognitive radio users constitute the majority.Dissertation/ThesisPh.D. Electrical Engineering 201

Intelligent Sensor Networks

In the last decade, wireless or wired sensor networks have attracted much attention. However, most designs target general sensor network issues including protocol stack (routing, MAC, etc.) and security issues. This book focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on their world-class research, the authors present the fundamentals of intelligent sensor networks. They cover sensing and sampling, distributed signal processing, and intelligent signal learning. In addition, they present cutting-edge research results from leading experts

A State of Art Concept in Contriving of Underwater Networks

the underwater ocean environment is widely considered as one of the most difficult communications channels. Underwater acoustic networks have recently emerged as a new area of research in wireless networking. Underwater networks are generally formed by acoustically connected ocean - bottom sensors, underwater gateways and a surfa ce station, which provides a link to an on - shore control center. In recent years, there has been substantial work on protocol design for these networks with most efforts focusing on MAC and network layer protocols. Low communication bandwidth, large propag ation delay, floating node mobility, and high error probability are the challenges of building mobile underwater wireless sensor networks (WSN) for aquatic applications. Underwater sensor networks (WSNs) are the enabling technology for wide range of appl ications like monitoring the strong influences and impact of climate regulation, nutrient production, oil retrieval and transportation, man y scientific, environmental, commercial, safety, and military applications. This paper first introduces the concept o f UWSN, operation, applications and then reviews some recent developments within this research area and proposes an adaptive push system for dissemination of data in underwater wireless sensor networks. The goal of this paper is to survey the existing net w ork technology and its applicability to underwater acoustic channels. In this paper we provide an overview of recent medium acces s control, routing, transport, and cross - layer networking protocols. It examines the main approaches and challenges in the desi gn and implementation of underwater wireless sensor networks. Finally, some suggestions and promising solutions are given for th ese issues

Indoor performance of wireless sensor network

Wireless sensor networks have the potential to become significant subsystems of engineering applications where every each node functions as transmitter, receiver, router and data sink. It is necessary to understand the dynamic behavior of these systems in simulation environments. It is critical to develop simulation platforms that are useful which can be used to explore both networking and wireless sensor networks issues. A discrete-event simulation is a trusted platform for modeling and simulating a variety of systems. This project emphasize on using new simulator for wireless sensor networks that is based on the discrete event simulation framework called Objective Modular Network Test bed in C++ version 4.1 (OMNeT++4.1) Simulator. This simulator is used to test the performance of sensor nodes within the networking in wireless communication networks based on indoor scenario. The test performances are focussed on aspects such as the time delay and packet utilization of the particular approach. The analysis approach is done through simulation software by the following metrics: packet frames delivery, packet loss and time delay experience within the system