Title: Incorporating security in opportunistic routing and traffic management in opportunistic sensor network

Authors: Mohammed Salman Arafath; Khaleel Ur Rahman Khan; K.V.N. Sunitha

Addresses: Department of CSE, Jawaharlal Nehru Technological University, Hyderabad, Telangana, India ' Department of Computer Science Engineering, ACE College of Engineering, Hyderabad, India ' BVRIT HYDERABAD, College of Engineering for Women, Hyderabad, India

Abstract: Nowadays, wireless sensors or opportunistic sensor networks (OSN) and its technologies are mainly used for bridging the spaces between the physical world and the virtual electronics. Due to several potentials like limited storage, unreliable communication, higher latency in communication and unattended operations of networks and sensor node powers, OSN faces many problems on routing and traffic management. Security on OSN involves routing and data aggregation deployed in OSN involves collaborations among nodes on the network due to ad-hoc nature. To solve these problems, our proposed method involves the novel traffic management scheme and opportunistic secure routing on sensor networks. This method involves mainly three algorithms such as range-based clustering (RBC) for clustering the sensor nodes, minimum waiting time routing (MWTR) algorithm for routing the data packets and in order to provide secure communication while coalition attack and replica attacks present on the network, we propose light weight key generation mechanism (LWKG). Thus, our proposed system provides less computational complexity on the networks and we provide effective results on experimental evaluation based on average packet reception ratio, detection ratio of replicas, connectivity and coalition attack resistance.

Keywords: wireless opportunistic sensor network security; clustering; routing and traffic management; traffic management; routing; opportunistic sensor network; OSN; secure communication; minimum waiting time; MWT; range-based clustering; RBC; light weight key generation mechanism; LWKG.

DOI: 10.1504/IJAIP.2020.107526

International Journal of Advanced Intelligence Paradigms, 2020 Vol.16 No.3/4, pp.265 - 284

Received: 05 Jul 2017
Accepted: 20 Aug 2017

Published online: 01 Jun 2020 *

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