A Survey on Spoofing and Selective Forwarding Attacks on Zigbee based WSN

The main focus of WSN is to gather data from the physical world. It is often deployed for sensing, processing as well as disseminating information of the targeted physical environments. The main objective of the WSN is to collect data from the target environment using sensors as well as transmit those data to the desired place of choice. In order to achieve an efficient performance, WSN should have efficient as well as reliable networking protocols. The most popular technology behind WSN is Zigbee. In this paper a pilot study is done on important security issues on spoofing and selective forwarding attack on Zigbee based WSN. This paper identifies the security vulnerabilities of Zigbee network and gaps in the existing methodologies to address the security issues and will help the future researchers to narrow down their research in WSN.Keywords: Zigbee, WSN, Protocol Stack, Spoofing and Selective Forwarding

Determination of Optimal Power for ZigBee-based Wireless Sensor Networks

In designing WSNs, both the transmit power, network topology, and routing scheme are considered. Transmitting at lower power affect the connectivity of the network while transmitting at excessive power reduces the lifetime of nodes and increases the network interference. Thus, determining the optimal power of the nodes that will be necessary to guarantee network connectivity. In this work, a practical self-healing and self-configuring real life prototype ZigBee Wireless Mesh Sensor Networks (WMSNs) was design to evaluate the performance of IEEE 802.15.4/ZigBee. We showed that increasing the transmit power of nodes from -6dBm to 0dBm in WMSNs leads to improved packets delivery ratio and throughput improvement and the optimal power was -2dBm for the studied topology. The testbed will aid wireless sensor network designer to make an accurate decision on transmit power and mesh network topology using Ad-hoc on-demand distance vector algorithm (AODV) as the routing scheme

WiSeNetor: A Scalable Wireless Sensor Network Simulator

WiSeNetor is a teaching and a research tool that simulates a scalable wireless sensor network on a single computer, based on the “Spamulator” (Aycock, J., Crawford, H., & deGraaf, R., 2008) which simulates the Internet on a single computer. Routing protocols and network discovery algorithms used in mesh networks and cluster tree networks can be demonstrated using this tool. WiSeNetor contains a network creation module, simulated network devices and it simulates routing algorithms. The network creation module spawns a network according to user specified network type, where the type can be a cluster tree or mesh. In this process, neighbor tables are populated and the Spamulator is initiated. The underlying network module of the Spamulator has been reused in WiSeNetor to achieve better scalability. Each simulated network device has an associated server program and a client program that process incoming requests and forward them to appropriate neighboring nodes, respectively. Network devices also log all of the service messages in individual log files that may be used to trace the routing or network discovery process. WiSeNetor has achieved scalability up to 15,000 nodes in the network. Message latency and the average number of hops during simulation testing were comparable to the findings in (Eamsomboon,P., Keeratiwintakorn,P., & Mitrpant, C, 2008) which validates the WiSeNetor

Zigbee based Wireless Sensor Network for Smart Energy Meter

Wireless sensor networks are expanding across a wide range of application scenarios. The most widely used transmitter is "ZigBee," which is used in wireless sensor networks. Based on the IEEE standard known as IEEE 802.15.4, ZigBee is an enabling low-cost technology that offers minimal energy consumption and a low data rate. It is used for remote control, medical aid, home automation, industry control, and other wireless sensor applications, in addition to wireless sensor networks and personal area network applications. This paper aims to develop a wireless sensor network and a protocol for smart energy meter applications. Our proposed system comprises a digital energy meter, a ZigBee coordinator, and a management application. A terminal alert and a cover alarm can be automatically sent to the management software by the wireless meter reading system once it has read the unit. Mistakes from Errors in leakage metering reading to manual meter reading can be avoided. This proposed system will improve efficiency by reducing labor intensity to liberate labor and force. The system setup can accommodate a large number of energy meters with sufficient hop network depth to detect a new energy meter automatically. The technology can be widely used in wireless monitoring and control applications because of its low cost, low power consumption, extended battery life, and mesh networking's ability to extend high reliability to a broader range. To connect a variety of low-power devices wirelessly, ZigBee will satisfy the rising demand. For the future generation of industrial technologies, ZigBee will be deployed.Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) © Copyright: All rights reserved

Design and implementation of a cognitive node for heterogeneous wireless ad-hoc

In this thesis, the design of a cognitive network layer solution for a scenario with mobile devices is presented. Cognitive networks are able to sense the environment and adapt in order to find the best performance of the network at any moment. The final objective is to carry out a design of a node of the network which has incorporated in it up to three different technologies, which are WLAN, Bluetooth and ZigBee. The node is able to determine whether a technology should be used or not based on the network state. In order to find out the network state, a routing protocol based on Link State to provide the full view of the network is designed. Adaptive routing metrics have been designed in order to determine the best performance of the network to meet the QoS requirements considering what service is being required by the application and therefore to choose what technology is more appropriated for the connection. Those metrics are based on the capacity of the link, which takes into account the technology, the delay and the packet error rate of itself, and the utilization level. Then, Dijkstras’ algorithm is computed to solve the routing problem based on the adaptive weights instead of using the traditional hop-based count as a cost function. Furthermore, a heterogeneous cognitive wireless ad-hoc network testbed is implemented to analyze the behavior of the cognitive network when different types of services are used. On top of the cognitive network layer, an application to arrange meetings is implemented. Meeting rooms offer two different type of service for the guests, video and data service. Thus, clients are able to configure a video conference with the meeting room in case they cannot attend the meeting

An Energy Model Using Sleeping Algorithms for Wireless Sensor Networks under Proactive and Reactive Protocols: A Performance Evaluation

The continuous evolution of the Internet of Things (IoT) makes it possible to connect everyday objects to networks in order to monitor physical and environmental conditions, which is made possible due to wireless sensor networks (WSN) that enable the transfer of data. However, it has also brought about many challenges that need to be addressed, such as excess energy consumption. Accordingly, this paper presents and analyzes wireless network energy models using five different communication protocols: Ad Hoc On-Demand Distance Vector (AODV), Multi-Parent Hierarchical (MPH), Dynamic Source Routing (DSR), Low Energy Adaptive Clustering Hierarchy (LEACH) and Zigbee Tree Routing (ZTR). First, a series of metrics are defined to establish a comparison and determine which protocol exhibits the best energy consumption performance. Then, simulations are performed and the results are compared with real scenarios. The energy analysis is conducted with three proposed sleeping algorithms: Modified Sleeping Crown (MSC), Timer Sleeping Algorithm (TSA), and Local Energy Information (LEI). Thereafter, the proposed algorithms are compared by virtue of two widely used wireless technologies, namely Zigbee and WiFi. Indeed, the results suggest that Zigbee has a better energy performance than WiFi, but less redundancy in the topology links, and this study favors the analysis with the simulation of protocols with different nature. The tested scenario is implemented into a university campus to show a real network running

ZigBee-Based wireless sensor network topologies using one and multiple coordinators

Wireless Sensor Networks (WSN) have been a cost-effective and feasible solution for a wide range of applications, such as communications infrastructure, traffic networks, telecommunications systems, military operations and so forth. IEEE804.15.4 ZigBee network model is ideally suited to the constraints of WSN in terms of bandwidth, processing power and battery capacity. This paper investigated tree and mesh routing in WSN with multiple coordinators and the failure of single coordinator using OPNET Modeler v14 which is an efficient computational platform for data networks simulation. Throughput, delay, traffic received, MAC Load are studied in this system and the results showed that tree routing was better suited for WSN than mesh routing and mobility of end node in multiple coordinator network was the best