Abstract

Communication abilities of a wireless network decrease significantly in the presence of a jammer. This paper presents a reactive technique, to detect and locate the position of a jammer using a distributed collection of wireless sensor devices. We employ the theory of autonomic computing as a framework to design the same. Upon detection of a jammer, the affected nodes self-configure their power consumption which stops unnecessary waste of battery resources. The scheme then proceeds to determine the approximate location of the jammer by analysing the location of active nodes as well as the affected nodes. This is done by employing a circular curve fitting algorithm. Results indicate a high degree of accuracy in localizing a jammer has been achieved.

Highlights

  • Wireless networks, in general, and wireless sensor networks (WSNs), in particular, are increasing in popularity due to the recent rapid decline of costs and the constant availability of new technology

  • Low power sensor nodes in WSNs can be significantly disrupted by the presence of a malicious external node transmitting in the same frequency channel

  • This paper proposed a scheme to locate a jammer, and to save energy of the affected nodes in the jammer affected areas

Read more

Summary

Introduction

In general, and wireless sensor networks (WSNs), in particular, are increasing in popularity due to the recent rapid decline of costs and the constant availability of new technology. Wireless networks are being extensively deployed from home automation systems to industrial communication systems. As these networks gain in scalability and size, the dependence on human manual intervention has to be minimized [1]. Battery resources are wasted when the simple sensor nodes continue to function normally in terms of transmitting and sensing, without realizing the presence of a jammer. This waste, in turn, shortens their lifespan and the lifetime of the network. This waste occurs when nodes continue to be active in presence of a jammer without any benefit [5]

Objectives
Findings
Discussion
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call