Implementation of Internet of Things (IoT) Based on IPv6 over Wireless Sensor Networks

With the rapid development of technology and application for Internet of Things (IoT), Low-Power Wireless Personal Area Network (LoWPAN) devices are more popularly applied. Evaluation of power efficiency is important to LoWPAN applications. Conventional method to evaluate the power efficiency of different LoWPAN devices is as follows: first measure the current of the devices under working/idle/sleep state and then make an average and estimation of the lifetime of batteries, which deeply relied on the accuracy of testing equipment and is not that accurate and with high cost. In this work, a low-cost, real-time power measurement platform called PTone is proposed, which can be used to detect the real-time power of LoWPAN devices (above 99.63%) and be able to determine the state of each module of DUT system. Based on the PTone, a novel abnormal status diagnosis mechanism is proposed. The mechanism can not only judge abnormal status but also find accurate abnormal status locating and classify abnormal status accurately. According to the method, each state of Device Under Test (DUT) during wireless transmission is estimated, different abnormal status can be classified, and thus specific location of abnormal module can be found, which will significantly shorten the development process for LoWPAN devices and thus reduce costs.

A common radio technology used in wireless sensor networks is the IEEE 802.15.4 standard. Wireless sensor networks have so far used custom, light-weight, and application specific network protocols on top of IEEE 802.15.4, often optimized for resource constrained low power hardware. In order to achieve interoperability at the network layer, the Internet Engineering Task Force published a standard for the transmission of IPv6 packets over IEEE 802.15.4 low-power wireless personal area networks, which provides an additional layer adapting the IPv6 network layer to the low power and resource constrained IEEE 802.15.4 link layer. This paper provides an evaluation of several independent implementations of the IPv6 over IEEE 802.15.4 standard. We describe the characteristics of the implementations and the protocol features supported. Our interoperability tests, carried out using two different hardware platforms, show that at least three implementations are to a large extend compatible with each other. At the end of the paper, we summarize recent work in the IETF to improve the IPv6 over IEEE 802.15.4 technology.

Secured lightweight authentication for 6LoWPANs in machine-to-machine communications

Newer concepts like Wireless Sensor Networks (WSN), Internet of Things (IoT), 6LoWPAN (IPv6 over Low-Power Wireless Personal Area Networks) etc are emerging. So, protocols, techniques and concepts that have been developed for the traditional computational devices do not essentially apply to the newer low power, less capable devices which are an integral part of the Internet of Things paradigm. So newer protocols need to be developed and [1] has drafted in specifications for the routing protocol for Low Power and Lossy Networks. Routers in LLN mostly operate with constraints like memory, processing power, and battery power (energy). Interconnects are characterized by low data-rate, high loss-rates, and instability. We aim to propose an authentication and encryption protocol for these Low Power and Lossy Networks (LLN).

In wireless sensor network with a long-thin and tree-based topology, sensor nodes might fail to be configured with an address due to the lack of the address space and the routes along a tree might not be optimal. In order to overcome these deficiencies, this paper proposes an addressing-based routing optimization scheme for IPv6 over low-power wireless personal area network in vehicular scenarios AROV. In AROV, the architecture based on super nodes is proposed. Via one addressing process, all nodes included in one super node can be configured with an address. Because a super node covers sensor nodes in a multi-hop scope, it effectively avoids the addressing failure. Moreover, a super node makes use of its neighbor super nodes to calculate an optimal path, so the routing latency is reduced. AROV is evaluated, and the data results show that AROV effectively shortens the routing latency.

This chapter presents a combined approach to visualize the IoT and cyber-physical system in any wireless communication networks. The brief overview of IoT and its applications in wireless sensor network (WSN) are elaborated in current era. In today’s present situation and the challenges faced during COVID-19 pandemic how the things can be monitored through IoT is being focused in this chapter. Also, the threats challenges and monitoring of cyber-physical system for security is presented in analysis form. WSN provides a bridge between the physical and virtual world and finds use in numerous applications like environmental monitoring, civil structural health monitoring and industrial process monitoring. Lately, it has found much use in the latest technology called Internet of Things (IoT). It seems that IoT has a great potential in shaping our future where everything will be connected together all the time. The major challenges faced by WSN include energy-efficiency, heterogeneity, and systematic design. WSN comprise of autonomous sensors which are capable of wirelessly transmitting their sensed parameter-values (also called packets) to remotely 188located sink node. The sink node is a WSN node which has the capability to assemble the data from all the nodes and forward it to farther distances to the remote base station through wired connections. The data transmission from source node to sink node is done by taking multi-hops which means that data is not sent directly to the destination node but through jumping from one intermediate node to another until the sink is reached. The sensor nodes also act as wireless routers which transmit data to other sensor-routers. So, sensor devices are very useful in deployment, collection of data, act as a IoT sensor devices as an application in technology. IoT is a device which can be used as application while a cyber-physical system is a collection of various mechanical components which are controlled and managed by different devices and algorithms. An IFM (Information Flow Monitor) is an application to backtrack queries and find the culprit in an error that has occurred in the cyber system. However, while backtracking and flow monitoring is not always guaranteed in terms of secure and efficient transaction. In some cases, the sender may deny the authority of the data so the information flow monitors may fail to provide a trustful and authentic source of data. Thus, the chapter focuses on both the issues of IoT integration with cyber-physical security (CPS) system. The key challenges and some solutions are proposed for the researchers for future work.

Energy consumption and real-time performance are two important metrics for wireless sensor networks (WSNs). To estimate these metrics, a number of simulation environments have been developed. However, these environments were made specifically for sensor nodes with fixed architectures. The recent generation of sensor nodes often has flexible architectures through the use of programmable hardware components, i.e., Field-programmable gate arrays (FPGAs). So far, no simulators have been developed to evaluate the performance of such flexible nodes in wireless networks. In this paper, we present PowerSUNSHINE, a power- and energy-estimation tool that fills the void. PowerSUNSHINE is the first scalable power/energy estimation tool for WSNs that provides an accurate prediction for both fixed and flexible sensor nodes. In this paper, we first describe requirements and challenges of building PowerSUNSHINE. Then, we present power/energy models for both fixed and flexible sensor nodes. Two testbeds, a MicaZ platform and a flexible node consisting of a microcontroller, a radio and a FPGA based co-processor, are provided to demonstrate the simulation fidelity of PowerSUNSHINE. We also discuss several evaluation results based on simulation and testbeds to show that PowerSUNSHINE is a scalable simulation tool that provides accurate estimation of power/energy consumption for both fixed and flexible sensor nodes.

Ubiquitous connectivity is already transforming residential dwellings into smart homes. As citizens continue to embrace the smart home paradigm, a new generation of low-rate and low-power communication systems is required to leverage the mass market presented by energy management in homes. Although Power Line Communication (PLC) technology has evolved in the last decade, the adaptation of PLC for constrained networks is not fully charted. By adapting some features of IEEE 802.15.4 and IPv6 over Low-power Wireless Personal Area Network (6LoWPAN) into power lines, this paper demonstrates a low-rate, low-power PLC system over the IPv6 network (referred to as 6LoPLC), for Home Energy Management System (HEMS) applications. The overall idea is to provide a framework for assessing various scenarios that cannot be easily investigated with the limited number of evaluation hardware available. In this respect, a network model is developed in NS-3 (Version 21) to measure several important characteristics of the designed system and then validated with experimental results obtained using the Hanadu evaluation kits. Following the good agreement between the two, the NS-3 model is utilised to investigate more complex scenarios and various use-cases, such as the effects of impulsive noise, the number of nodes and packet size on the latency and Bit Error Rate (BER) performances. We further demonstrate that for different network and application configurations, optimal data sizes exist. For instance, the results reveal that in order to guarantee 99% system reliability, the HEMS application data must not exceed 64 bytes. Finally, it is shown that with impulsive noise in a HEMS network comprising 50 appliances, provided the size of the payload does not exceed 64 bytes, monitoring and control applications incur a maximum latency of 238.117 ms and 248.959 ms, respectively; both of which are within acceptable limits.

Wireless Sensor Networks (WSNs), as a key part of the Internet of Things (IoT), allow the representation of the dynamic characteristics of the physical world in the Internet's virtual world. Thus, sensor nodes are henceforth considered as Internet hosts and may act freely as web clients or servers. Undoubtedly, security and end-users privacy issues rise and become more severe in the IoT, due to the asymmetric nature of the communications between sensor nodes and the ordinary Internet hosts. Many solutions propose to use the classical IP-based security protocols for IoT, after adapting them to WSN's constraints by either messages compression or computational-load distribution techniques. In this paper we propose a 6LoWPAN (IPv6 over Low power Wireless Personal Area Networks) compression model for HIP (Host Identity Protocol) header, as well as, an adapted distribution scheme of the computational load in HIP's key agreement process. For an extreme lightweight end-to-end security, we propose to combine both compression and distribution models for HIP in WSNs side, in the IoT. The partial evaluation results show that the proposed protocol, named compressed and distributed HIP (CD-HIP), is more adapted than the standard HIP, while introducing minor header communication overhead.

IoT technology is widely employed to solve the problem of large-scale monitoring, e.g. in the context of smart cities or smart industries. Nevertheless, several issues have to be addressed in this context. The number of nodes can be very large and, sometimes, nodes can be not be easily reachable for humans interventions. Other important issues are battery life and node failure, two aspects that can affect the quality of service provided by the IoT system as well as related costs. To deal with the aspects above we propose a LoWPAN (Low power Wire-less Personal Area Network) network protocol that supports an automatic network construction without any human intervention. The resulting network is a tree structure featuring a main node which, in turn, is linked with the wireless gateway and a number of middle nodes (the first layer of the tree), while the leafs are called End nodes. The network structure and the underlying protocol described in this paper are designed to face the problem of configuration and to balance inter-node communication to ensure a fair power consumption. The proposed approach also features self-repair capabilities, as it is able to perform automatic recovery after a node failure. A case study is briefly discussed to show a potential application of the described approach.

The Internet of Things (IoT) is a flagship project that aims to connect objects to the Internet to extend their use. For that, it was needed to find a solution to combine between the IEEE 802.15.4 protocol for Low Power Wireless Personal Area Networks (LoWPANs) and IPv6 network protocol that its large address space will allow million devices to integrate the internet. The development of 6LoWPAN technology was an appropriate solution to deal with this challenge and enable the IoT concept becoming a reality. But this was only the beginning of several challenges and problems like the case of how to secure this new type of networks, especially since it includes two major protocols so the combination of their problems too, over and above new problems specific to that network. In this paper, we analyze the security challenges in 6LoWPAN, we studied the various countermeasures to address these needs, their advantages and disadvantages, and we offer some recommendations to achieve a reliable security scheme for a powerful 6LoWPAN networks.

A scheme for WSNs (wireless sensor networks) security is given by dividing sensing tetrahedron into clusters and using the symmetric polynomials in this paper.The sensing tetrahedron is divided into a number of small grids.All those sensor nodes, both ordinary sensor nodes and heterogeneous sensor nodes are distributed in the sensing tetrahedron.In a grid, all ordinary sensor nodes and heterogeneous sensor nodes establish their shared keys through using the symmetric polynomials.All the heterogeneous sensor nodes establish their shared keys through using the symmetric polynomials.At last, all sensor nodes establish their keys directly or indirectly in the whole sensing tetrahedron.Analysis and comparison demonstrate this scheme enhances the WSN security, has good network connectivity, saves node storage, reduces network computing load, and extends the network lifetime.

In the mobility support standards, when a node moves between IP domains, it must be configured with a care-of address (CoA) and registers the new CoA with its home agent. As a result, before a target node is accessed its home agent must be first visited to acquire the information on the foreign network where the target node is located. Therefore, the mobility handover latency is prolonged due to the CoA configuration, and the communication latency is increased due to visiting a target’s home agent. This paper proposes a mobility frame for IPv6 over low-power wireless personal area network wireless sensor network and aims to reduce the handover latency and the communication latency. In this frame, a device managing sensor nodes is identified by a network prefix and can provide the geographical information on these sensor nodes, so the sensor nodes do not need to be configured with a CoA and can directly be accessed without visiting their home agent. In this way, the handover latency and the communication latency are reduced.

The Internet of things (IoT) and wireless sensor networks (WSNs) have been rapidly and tremendously developing recently as computing technologies have brought about a significant revolution. Their applications and implementations can be found all around us, either individually or collaboratively. WSN plays a leading role in developing the general flexibility of industrial resources in terms of increasing productivity in the IoT. The critical principle of the IoT is to make existing businesses sufficiently intelligent to recognize the need for significant fault mitigation and short-cycle adaptation to improve effectiveness and financial profits. This article presents efficiently applied security protocols at the data link layer for WSN and IoT-based frameworks. It outlines the importance of WSN–IoT applications as well as the architecture of WSN in the IoT. Our primary aim is to highlight the research issues and limitations of WSNs related to the IoT. The fundamental goal of this work is to emphasize a suggested architecture linked to WSN–IoT to enhance energy and power consumption, mobility, information transmission, QoS, and security, as well as to present practical solutions to data link layer difficulties for the future using machine learning. Moreover, we present data link layer protocol issues, attacks, limitations, and research gaps for WSN frameworks based on the recent work conducted on the data link layer concerning WSN applications. Current significant issues and challenges pertain to flow control, quality of service (QoS), security, and performance. In the context of the literature, less work has been undertaken concerning the data link layer in WSN and its relation to improved network performance.

This article investigates the performance of multicriteria-based load-balancing scheme among gateways in fog-assisted Internet of Things (IoT). We employ a queueing model of the IoT system to calculate the latency of data streams from the IoT devices to the applications. However, a gateway node may easily become congested since all the traffic to IP networks are directed toward the gateway. A congested point can affect system performance and may cause reliability problems in the system. Thus, we employ multiple gateways to alleviate the performance degradation of the network, along with a multicriteria decision-making (MCDM)-based load-balancing policy among the gateways to achieve a global load fairness. The proposed model is evaluated in single-hop IPv6 over low-power wireless personal area networks (6LoWPANs). The evaluation results show the effectiveness of the proposed load-balancing model in providing fast and reliable responses to user queries.