Collection Of Wireless Sensor Nodes Research Articles

Data mining approach to analyzing intrusion detection of wireless sensor network

<span>Wireless sensor network (WSN) is a collection of wireless sensor nodes which are distributed in nature and a base station where the dispersed nodes are used to monitor and the physical conditions of the environment is recorded and then these data are organized into the base. Its application has been reached out from critical military application such as battlefield surveillance to traffic, health, industrial areas, intruder detection, security and surveillance. Due to various features in WSN it is very prone to various types external attacks. Preventing such attacks, intrusion detection system (IDS) is very important so that attacker cannot steal or manipulate data. Data mining is a technique that can help to discover patterns in large dataset. This paper proposed a data mining technique for different types of classification algorithms to detect denial of service (DoS) attacks which is of four types. They are Grayhole, Blackhole, Flooding and TDMA. A number of data mining techniques, such as KNN, Naïve Bayes, Logistic Regression, support vector machine (SVM) and ANN algorithms are applied on the dataset and analyze their performance in detecting the attacks. The analysis reveals the applicability of these algorithms for detecting and predicting such attacks and can be recommended for network specialist and analysts. </span>

Wireless Body Area Network Security and Privacy Issue in E-Healthcare

Wireless Body Area Network (WBAN) is a collection of wireless sensor nodes which can be placed within the body or outside the body of a human or a living person which in result observes or monitors the functionality and adjoining situations of the body. Utilizing a Wireless Body Area Network, the patient encounters a greater physical versatility and is never again constrained to remain in the hospital. As the Wireless Body Area Network sensor devices is being utilized for gathering the sensitive data and possibly will run into antagonistic situations, they require complicated and very secure security medium or structure to avoid the vitriolic communications within the system. These devices represent various security and privacy protection of touchy and private patient medical data. The medical records of patients are a significant and an unsolved situation due to which a changing or exploitation to the system is possible. In this research paper, we first present an overview of WBAN, how they utilized for healthcare monitoring, its architecture then highlight major security and privacy requirements and assaults at different network layer in a WBAN and we finally talk about various cryptographic algorithms and laws for providing solution of security and privacy in WBAN.

LEACH and Extended LEACH Protocols in Wireless Sensor Network-A Survey

Sensor Network is collection of wireless sensor nodes in which routing protocol is most challenging issue. Sensors have limited battery power. Battery extends the lifetime of sensor nodes. Energy utilization is one of the most important considerations. There are various routing techniques which increase lifetime of battery. One of the most energy efficient clustering routing protocols is LEACH. In this survey paper we represent LEACH & Extended version of LEACH routing protocol. Some issues are faced by LEACH. In this paper we represent how Extended LEACH version tackled these issues. We compare Extended LEACH Protocols with original LEACH. KeywordsHead (CH), Time division multiple access (TDMA), Cluster member (CM), Base Station (BS), Wireless Sensor Network (WSN).

Energy-efficient information routing in sensor networks for robotic target tracking

Target tracking problems have been studied for both robots and sensor networks. However, existing robotic target tracking algorithms require the tracker to have access to information-rich sensors, and may have difficulty recovering when the target is out of the tracker's sensing range. In this paper, we present a target tracking algorithm that combines an extremely simple mobile robot with a networked collection of wireless sensor nodes, each of which is equipped with an unreliable, limited-range, boolean sensor for detecting the target. The tracker maintains close proximity to the target using only information sensed by the network, and can effectively recover from temporarily losing track of the target. We present two algorithms that manage message delivery on this network. The first, which is appropriate for memoryless sensor nodes, is based on dynamic adjustments to the time-to-live (TTL) of transmitted messages. The second, for more capable sensor nodes, makes message delivery decisions on-the-fly based on geometric considerations driven by the messages' content. We present an implementation along with simulation results. The results show that our system achieves both good tracking precision and low energy consumption.

Markovian Model based Trustworthy Architecture

Wireless Sensor Network (WSN) is collection of wireless sensor nodes which works for a goal of monitoring physical and environmental conditions. The wireless environments are prone to attacks by the third party, hence trust plays a major role in solving the problem of access control privacy, secure routing and trust based communication in the sensor network environment. Markovian model helps in developing the different state of trust in the WSN. Trust solves the problem of providing access control based on the quality of the SNs and their services.

SEEM: Secure and energy-efficient multipath routing protocol for wireless sensor networks

A Wireless Sensor Network (WSN) is a collection of wireless sensor nodes forming a temporary network without the aid of any established infrastructure or centralized administration. In such an environment, due to the limited range of each node’s wireless transmissions, it may be necessary for one sensor node to ask for the aid of other sensor nodes in forwarding a packet to its destination, usually the base station. One important issue when designing wireless sensor network is the routing protocol that makes the best use of the severely limited resource presented by WSN, especially the energy limitation. Another import factor required attention from researchers is providing as much security to the application as possible. The proposed routing protocols in the literature focus either only on increasing lifetime of network or only on addressing security issues while consuming much power. None of them combine solutions to the two challenges. In this paper, we propose a new routing protocol called SEEM: Secure and Energy-Efficient multipath Routing protocol. SEEM uses multipath alternately as the path for communicating between two nodes thus prolongs the lifetime of the network. On the other hand, SEEM is effectively resistive to some specific attacks that have the character of pulling all traffic through the malicious nodes by advertising an attractive route to the destination. The performance of our protocol is compared to the Directed Diffusion protocol. Simulation results show that our protocol surpasses the Directed Diffusion protocol in terms of throughput, control overhead and network lifetime.