Wireless Communication

Anand Kumar ¹, Yogesh Chaba ¹, Sanjeev Kumar ¹

Affiliations
1 Department of CSE, Guru Jambheshwar University of Science & Technology, Hisar, IN

Abstract

A mobile ad hoc network is a wireless network that uses multi hop peer to peer routing. A user can move any time at any place, as a result that network need to have routing protocol which can hold dynamically changing topology. To accomplish this, a number of ad hoc routing protocol have been proposed and implemented such as DSR, LAR, WRP. The comparatively study will be done on basis of increase in number of nodes with CBR values. Three simulation result are described using two CBR values these are 10 and 50. In these results LAR perform best as comparison of DSR and WRP because the LAR protocol uses location information to reduce the search space for a desired route limiting the search space-results in fewer route discovery messages. This paper compares the major characteristics of these protocols such as throughput, collision, loss packet percentage using a parallel discrete event-driven simulator, Glomosim-2.03. In light traffic load, throughput and collision of DSR protocol is best as compare to LAR and WRP but in heavy traffic LAR is best because in heavy traffic LAR use Global Positioning System to find the exact location of node in network. So that overhead has to be reduced.

Keywords

Mobile Ad Hoc Networks, DSR, LAR, WRP.

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Prabha Rani ¹, Yogesh Chaba ², Yudhvir Singh ²

Affiliations
1 NIMS University, Jaipur, IN
2 Department of CSE, GJ University of Science & Technology, Hisar, IN

Abstract

In this paper, blackhole attack in mobile adhoc networks have been investigated. Blackhole attack is the attack in which all traffic is redirected to a specific node, which may not forward any traffic to all other nodes. The test-bed is created and system is developed using AODV as a base routing protocol on the network simulator. Various network performance parameters i.e. throughput, packet delivery ratio, collisions etc. are analyzed before and after attack. There are two existing mechanisms: packet based prevention, request based prevention and one hybrid mechanism for preventing blackhole attack is proposed. On implementation of blackhole attack the performance of the network reduces, but after implementation of detection and prevention mechanisms the performance of MANETs improves significantly and results shows that proposed hybrid technique is better than existing techniques.

Keywords

AODV, Blackhole, Hybrid Prevention, MANET, PBP and RBP.

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Yogesh Chaba ¹, Yudhvir Singh ¹, Ritu Sharma ¹

Affiliations
1 G.J. University of Science & Technology, Hisar, IN

Abstract

Due to the wide range of applications, Wireless Sensor Network(WSN) have recently attracted a lot of interest in the research community.WSN consist of large number of low-power sensor nodes, with limited processing, communication and storage resources. Due to limited resources of WSNs, it is challenging to incorporate basic security functions, such as authentication, privacy, confidentiality, availability and integrity etc. In order to protect the sensitive data and the sensor reading, secret keys should be used to encrypt the exchanged messages between communicating nodes. Because of high energy consumption and increased code storage requirement is needed by asymmetric cryptography such as RSA or ECC. Key management is one of the oldest areas in WSN security solution. This paper is devoted to the research on security efficiency for wireless sensor networks. The proposed scheme of IPC(Inter Process Communication) key management is based on the generation and distribution of the individual key, pair-wise key and the cluster head broadcast key. IPC have simulated and shows the performance for energy consumption with increasing number of neighbors, and time taken in individual key establishment with the number of nodes in the network. The security analysis shows that the scheme within this paper meets the unique security needs of the sensor networks.

Keywords

Attacks, Key Management, Security, Sensor Node, Wireless Sensor Network.

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