Device Based Asynchronous Ranging and Node Identification for Wireless Sensor Networks[omnet++program]

Device Based Asynchronous Ranging and Node Identification for Wireless Sensor Networks

One of the most needed and challenging components in a wireless sensor network is the development of practical localization algorithms. Device Based Asynchronous Ranging and Node Identification for Wireless Sensor Networks In order to discover the sensor positions in a secure and effective manner, node identification and distance estimation are essential for many positioning applications e.g. Device Based Asynchronous Ranging and Node Identification for Wireless Sensor Networks[omnet++program]health monitoring system, habitat tracking, and object positioning. Device Based Asynchronous Ranging and Node Identification for Wireless Sensor Networks

In order to make location estimate possible in most propagation environments, some available information e.g. the device delay time and waiting time of nodes could be used to achieve secure location estimation. Thus, the Device-based Asynchronous Ranging and Node Identification DARNI algorithm, which is based on the Distance Estimation via Asynchronous Clocks DEVAC algorithm with time-of-arrival TOA information, is proposed to performing asynchronous ranging and node identification. Device Based Asynchronous Ranging and Node Identification for Wireless Sensor Networks Several secure location verification approaches are described in,

Device Based Asynchronous Ranging and Node Identification for Wireless Sensor Network

 

which introduce a number of security issues. Comprehensive surveys of design challenges and recently proposed secure positioning algorithms can be found in . However, most of these solutions are complex, need synchronization, key cryptography, Device Based Asynchronous Ranging and Node Identification for Wireless Sensor Networks and extra hardware implementation directional or sectored antennas , and lack distance The operating procedure of the DEVAC scheme. Device Based Asynchronous Ranging and Node Identification for Wireless Sensor Networks verification mechanism and misbehavior detection. Compared with above methods, the proposed scheme is simpler to implement and can be integrated with many known TOA ranging algorithms

 

In this paper, a node identification mechanism and an asynchronous ranging method are integrated into the basic approach of sender-receiver synchronization. Device Based Asynchronous Ranging and Node Identification for Wireless Sensor Networks With a nominal overhead and device characteristics, the proposed DARNI algorithm is capable of overcoming masquerade and delay attacks from external attackers. Device Based Asynchronous Ranging and Node Identification for Wireless Sensor Networks

The key features and contributions of the DARNI are The DARNI scheme achieves time synchronization and distributed ranging between pairs of sensor nodes the DARNI scheme can be used to detect misbehavior of anti-nodes by applying the device physical characteristics e.g. internal device delays , the clocking information, and the response delay time the DARNI scheme can effectively solves node verification problem without changing any hardware and software infrastructure; the performance comparison between the proposed DARNI and the DARCS is presented. The simulation results show that the proposed DARNI outperforms the DARCS with regard to the successful detection rate of antinodes and ranging accuracy. This paper is organized as follows: In Section II, we review related works about ranging and node identification in sensor networks. Section III describes the approach of DARNI. Section IV presents performance analysis. In Section V, we evaluate the system performance. Finally, Section VI draws In this work, two primary related research areas are discussed secure ranging and (2) node identification. In terms of ranging perspectives, in our previous work DEVAC [1],[9], the concept of bi-directional communication is applied to perform distance estimation. That is, pairs of sensors can determine distances through bidirectional communication and information sharing to improve ranging accuracy in a low-precision environment without synchronous clocking. However, compared with the DEVAC method, the proposed protocol achieves better ranging accuracy since DEVAC does not consider the device delay of wireless sensor nodes, whichmay degrade the estimation performance. present direct-sequence code division multiple access DS CDMA based ranging protocols and argue that bidirectional communication ranging provides an opportunity to invoke a calibration step e.g. timing calibration and employ techniques.