Statistics & Computer Science
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Item Human Perception of Haptic Force Direction(IROS 2006 IEEE/RSJ International Conference, 2006) Elhajj, I.; Weerasinghe, K.G.H.D.; Dika, A.; Hansen, R.In this paper we investigate the accuracy of human perception of haptic force direction applied to the hand. Haptic interfaces are commonly used in many applications and understanding the limitations of human perception would facilitate the design of these interfaces and the associated applications. The literature contains work related to force perception; however, none of which address the issue of the accuracy of haptic force direction perception. We discuss the design and implementation of the experiment used to evaluate the accuracy. Also presented are results related to training effects, fatigue and accuracy across angular regionsItem Analysis of key management in wireless sensor networks(IEEE EIT?07, 2007) Dustin, M.; Shankarappa, J.; Petrowski, M.; Weerasinghe, K.G.H.D.; Fu, H.A multitude of wireless sensor networks exist today in various fields, each having a specific objective in mind. Based on the objectives for each network, the security concerns can be different, dependent on such factors as the level of secrecy of the data being captured, the amount of computation done to the captured data, and the criticality of the data being available when needed. This paper aims to identify the various types of WSNs in existence today, review some of the key management schemes proposed by the community, and map each type of WSN to a set of these key management schemes that would be ideal to handle the security requirements for that network. Through our research, we aide in solving the question as to whether or not there exists any specific security concerns which are prevalent in a majority of WSNs in use today.Item Data centric adaptive in-network aggregation for wireless sensor networks(IEEE/ASME International Conference, 2007) Weerasinghe, K.G.H.D.; Elhajj, I.; Krsteva, A.; Najm, M.A.This paper presents and evaluates a data centric adaptive in-network aggregation algorithm for wireless sensor networks. In-Network data aggregation is used in wireless sensor networks to reduce the power consumption of sensor nodes. The accuracy of the aggregated results is highly sensitive to delays in the measurements. All existing methods use fixed time limit to accept delayed information for aggregation. The proposed method dynamically calculates the delay limit by using the historical behavior of each sensor. The presented simulation results illustrate the advantage of the developed algorithm.Item Preventing Cooperative Black Hole Attacks in Mobile Ad Hoc Networks: Simulation Implementation and Evaluation(International Journal of Software Engineering and Its Applications, 2008) Weerasinghe, K.G.H.D.; Fu, H.A black hole attack is a severe attack that can be easily employed against routing in mobile ad hoc networks. A black hole is a malicious node that falsely replies for any route requests without having active route to specified destination and drops all the receiving packets. If these malicious nodes work together as a group then the damage will be very serious. This type of attack is called cooperative black hole attack. In [9], we proposed a solution to identifying and preventing the cooperative black hole attack. Our solution discovers the secure route between source and destination by identifying and isolating cooperative black hole nodes. In this paper, via simulation, we evaluate the proposed solution and compare it with other existing solutions in terms of throughput, packet loss percentage, average end-toend delay and route request overhead. The experiments show that (1) the AODV greatly suffers from cooperative black holes in terms of throughput and packet losses, and (2) our solution proposed in [9] presents good performance in terms of better throughput rate and minimum packet loss percentage over other solutions, and (3) our solution proposed in [9] can accurately prevent the cooperative black hole attacks.