A Novel Trust-Aware Geographical Routing Scheme for Wireless Sensor Networks

  • Authors:
  • Theodore Zahariadis;Panagiotis Trakadas;Helen C. Leligou;Sotiris Maniatis;Panagiotis Karkazis

  • Affiliations:
  • Department of Electrical Engineering, Technological Educational Institute of Chalkis, Psahna, Greece 34400;Hellenic Authority for Communications Security and Privacy (ADAE), Amaroussio, Athens, Greece;Department of Electrical Engineering, Technological Educational Institute of Chalkis, Psahna, Greece 34400;Hellenic Authority for Communications Security and Privacy (ADAE), Amaroussio, Athens, Greece;Department of Electronic & Computer Engineering, Technical University of Crete, Chania, Greece

  • Venue:
  • Wireless Personal Communications: An International Journal
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

Wireless sensor networks are vulnerable to a wide set of security attacks, including those targeting the routing protocol functionality. The applicability of legacy security solutions is disputable (if not infeasible), due to severe restrictions in node and network resources. Although confidentiality, integrity and authentication measures assist in preventing specific types of attacks, they come at high cost and, in most cases, cannot shield against routing attacks. To face this problem, we propose a secure routing protocol which adopts the geographical routing principle to cope with the network dimensions, and relies on a distributed trust model for the detection and avoidance of malicious neighbours. A novel function which adaptively weights location, trust and energy information drives the routing decisions, allowing for shifting emphasis from security to path optimality. The proposed trust model relies on both direct and indirect observations to derive the trustworthiness of each neighboring node, while it is capable of defending against an increased set of routing attacks including attacks targeting the indirect trust management scheme. Extensive simulation results reveal the advantages of the proposed model.