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Considerable efforts have been expended on the centralised administration of WSNs. However, only very small functions, such as processing, memory, battery unit, and communication ability, can be configured using WSN nodes due to the associated resource restrictions. Moreover, unbalanced cluster construction and unbalanced energy dissipation can reduce network lifespan by a large extent. Therefore,...
Obtaining hundreds of sensor nodes to experiment new algorithms on Wireless Sensor Network (WSN) in real testbed is costly and time consuming. Simulation environment can reduce these costs though it may not produce exactly same results as real testbeds. There is many kind of simulations available for WSN such as Cooja and Tossim. None of these simulation environments provides an all-in-one solution...
Wireless Sensor Networks consist of resource-constrained (energy, memory and processing) sensor nodes that are deployed at different locations, in order to monitor physical or environmental conditions. Several limitations exist nowadays, at simulation and at programming level, especially for heterogeneous Wireless Sensor Networks (composed of different hardware devices). Indeed, to optimize a self-organized...
The use of simulation tools in the development of new Wireless Sensor Networks protocols and applications should be accompanied by minimisation of redundant code and work, making it possible to seamlessly run the same code on simulated and real platforms. This work proposes an architecture for a WSN testing platform that integrates simulation tools in an application-transparent way. The platform will...
Wireless Sensor Networks (WSNs) are widely applied to monitor environments such as military surveillance and reconnaissance. However, individual sensor nodes are vulnerable to some types of attacks because they are usually deployed in open and unprotected environments. Once sensor nodes are compromised, malicious nodes can send erroneous data to the base station, and possibly mislead monitoring results...
This paper proposes self-deploying approaches for sensor networks. The gravitational field (GF) and the radioactive decay (RD) are used to model the repulsion forces between sensor nodes. The Received Signal Strength (RSS) is transformed to the repulsion force for computing the next move distance and direction. The GF approach reduces the power consumption on communication overheads while the RD approach...
This paper presents an architecture to support the modeling of different high level architecture (HLA) compliant emergency management training simulations. Different ontologies are created to support complex simulation instantiation. Simulations can be accessed through any device that can run an X3D browser. A context database is created, which provides real life events, collected via wireless sensor...
Spectrum sensing in the context of wireless microphone (WM) signals is considered in this paper. The spectrum sensing algorithm developed in this study makes use of the property that the bandwidth of the WM signal is narrow compared with the bandwidth of a digital television (DTV) channel. As a result, the power of the WM signal is highly concentrated in the frequency domain and there are apparent...
This paper introduces a novel current sense amplifier (CSA) in sub-32nm fully depleted (FD) double-gate (DG) silicon-on-insulator (SOI) technology with planar independent self-aligned gates. A new architecture is proposed which takes advantage of the back gate in order to improve circuit properties. Compared to the reference circuit, the new architecture proves to be faster (21% sensing delay decrease),...
We propose a novel distributed cross-layer optimization approach for cognitive radio wireless networks. A cognitive radio is a wireless device that is capable of sensing the prevailing environmental conditions and automatically adapting its operating parameters in order to enhance the performance of both the system and potentially the whole network. Given the lack of a centralized intelligence to...
Recent advances in wireless communications and micro-electro-mechanical systems have fostered the development of wireless sensor networks (WSNs) which consist of tiny, low-cost and low-power sensor nodes. Individual sensor nodes only have local views of the environment, but global views can be obtained by collaborative processing between densely deployed sensor nodes. Energy efficiency is critical...
This paper presents a distributed fermat-point range estimation strategy, which is important in the moving sensor localization applications. The fermat-point is defined as a point which minimizes the sum of distances from three sensors inside a triangle. This point is indeed at the trianglepsilas center of gravity. We solve the problems of large errors and poor performance in the bounding box algorithm...
Sink mobility has become an increasingly important requirement of various sensor network applications. Handling such mobile sink conditions brings new challenges to large-scale sensor networking. This investigation proposed a hybrid-structure routing protocol (HSRP) that combines the benefits of grid-based and cluster-based structures. Grid-based structure is designed to solve the cluster head selection...
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