Simulating the power consumption of large-scale sensor network applications

Abstract

Due to the dynamic nature of WAHN communications and the multi-node involvement in most WAHN applications, group key management has been proposed for efficient support of secure communications in WAHNs. Exclusion Basis Systems (EBS) provide a framework for scalable and efficient group key management where the number of keys per node and the number of re-key messages can be relatively adjusted. EBS-based solutions, however, may suffer from collusion attacks, where a number of nodes may collaborate to reveal all system keys and consequently capture the network. In this paper we investigate the collusion problem in EBS and demonstrate that a careful assignment of keys to nodes reduces collusion. Since an optimal assignment is NP hard, we propose a location-based heuristic where keys are assigned to neighboring nodes depending on the hamming distance between the strings of bits representing the used subset of the keys employed in the system. Simulation results have demonstrated that our proposed solution significantly boosts the network resilience to potential collusion threats.

On the Use of Fake Sources for Source Location Privacy: Trade-Offs Between Energy and Privacy

“…Energy consumption was measured independently for each node in the network. The adopted energy model was consistent with [17]; thus values for node voltage (V node ), current at idle (I i ), current at send (I s ) and current at receive (I r ) were required. As in [17], V node = 3V , I i = I r = 7mA and I s = 21.5mA.…”

“…The adopted energy model was consistent with [17]; thus values for node voltage (V node ), current at idle (I i ), current at send (I s ) and current at receive (I r ) were required. As in [17], V node = 3V , I i = I r = 7mA and I s = 21.5mA. All nodes were assumed to operate at maximum power, thus the transmission strength of each node was also maximal.…”

Measuring Power Consumption for Image Processing on Android Smartphone

“…These models do not relate the power consumption of the system with the applications. Recent estimation-based power models tried to estimate the power consumption of application running on desktops (Zeng et al, 2002), sensor nodes (Shnayder et al, 2004), virtual machines (Kansal et al, 2010) and more recently, mobile phones (Zhang et al, 2010).…”

Routing in wireless sensor networks for wind turbine monitoring

“…The new plug-in, called PowerTOSSIM-Z [62], is an upgrade from PowerTOSSIM [63] for the purpose of tracing power consumption in wireless sensor networks. In this work, the existing PowerTOSSIM plug-in functionality was upgraded to version 2.x of TinyOS, while support for the micaZ hardware that incorporates a realistic, non-linear energy model was included.…”