Secure self-adaptive framework for distributed smart home sensor network

Authors:
Rajani Muraleedharan;Lisa Ann Osadciw
Affiliations:
Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY;Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY
Venue:
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Year:
2009

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Abstract

Sensor based assisted living application requires secure and high quality of service (QoS). In this paper, the proposed nature inspired threshold based intruder alert promises both secure communication and optimal resource exploitation. The three primary concerns of smart home application are, low bit error rate (BER), minimal distance, packet loss ratio (PLR) and speed of alert. The simulated application performance is based on prioritizing incoming user traffic and system requirements.