IMPROVED VIRTUAL CIRCUIT ROUTING ALGORITHM FOR WIRELESS SENSOR NETWORKS UNDER THE ASPECT OF POWER AWARENESS

Routing algorithms have shown their importance in the power aware wireless micro-sensor networks. In this paper first we present virtual circuit algorithm (VCRA), a routing algorithm for wireless sensor networks. We analyze the power utilized by nodes to lengthen the battery life and thus improving the lifetime of wireless sensor network. We discuss VCRA in comparison with the Multihoprouter, an algorithm developed by UC Berkeley. Then we present Improved Virtual Circuit Routing Algorithm (IVCRA) which is an improved form of VCRA. In IVCRA node failure detection and path repairing scheme has been implemented. We also present the energy analysis of IVCRA and prove that IVCRA is the best choice. We first implement our routing algorithms in simulator TOSSIM and then on real hardware of mica2 mote-sensor network platform and prove the reliable routing of the data packets from different nodes to the base station. The motes used as nodes in our mote-sensor network are from Berkeley USA. By using simulator POWERTOSSIM, we estimate and present the energy utilized by different nodes of the network. At the end we present a comparison of our work with the network layer of Zigbee/IEEE 802.15.4, which is an emerging standard for wireless sensor networks and then compare its energy efficiency with the packet size chosen for our algorithm

T.Trathnigg. Combined Management of Power- and Quality of Service in Distributed Embedded Video Surveillance Systems

In this paper we present PoQoS, a novel approach for combined management of power- and quality of service (QoS) in distributed embedded video surveillance systems. PoQoS allows the implementation of hardware-tailored dynamic power management schemes for different individual QoS-levels. The proposed approach also offers an extensible model for implementing PoQoS in an overall distributed video surveillance system. We demonstrate the feasibility of PoQoS in a simple experimental setup for video surveillance. Experimental results show that the approach leads to power savings of up to about 25%

T.Trathnigg, “Combined Dynamic Power- and QoS-Management in Embedded Video Surveillance Systems

Abstract — Intelligent video surveillance (IVS) offers a large spectrum of different applications that have strict quality of service (QoS)-requirements. Beside high demands in computing performance, power efficiency is another major concern in these applications. For instance, recent IVS systems need to deliver compressed video data in high quality while using devices that are partly solar- or battery-powered. Since delivering high QoS-levels usually goes along with increased power consumption, it makes sense to implement combined QoS-management and power reduction methods. However, most IVS systems do have a lack of functionality in offering combined power- and QoS-management mechanisms. In this paper, we present PoQoS, a new generic concept for combined power- and QoS-management in distributed IVS systems. Its basic idea is to offer an extensible model that eases to implement coexisting dynamic power- and QoS-management mechanisms. Furthermore, our approach increases the systems reliability by including parameters of its actual energy state as well as information about fault recognition. Experimental results demonstrate the feasibility of our approach