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We present a novel distributed localization algorithm, called Swarm-Intelligent Localization (SIL), for computing the physical locations of nodes in wireless sensor networks. The algorithm assumes that only a small fraction of the nodes have a priori knowledge of their positions, and that noisy distance measurements are available between all neighboring nodes. The algorithm has no explicit global...
Wireless Sensor Networks (WSNs) can be deployed to serve mission-critical applications in hostile environments such as battlefield and territorial borders. In these setups, the WSN may be subject to attacks in order to disrupt the network operation. The most effective way for an adversary to do so is by targeting the Base-Station (BS), where the sensor data are collected in the field. By identifying...
In wireless sensor networks, measurements from neighboring sensor nodes are typically cross-correlated and can be aggregated and compressed locally. This process, referred to as in-network data aggregation, saves a lot of energy by reducing the amount of data that needs to be transferred to the data sink. We consider the problem of using a TDMA schedule in order to perform data aggregation in a network...
Energy is a major constraint in wireless sensor networks. Data Aggregation constitutes a fundamental mechanism for energy optimization. The idea is to minimize redundancy from the raw data captured by the sensors, minimizing the number of transmissions to the sink and thus saving energy. Since the data is often captured on a periodic basis, and sensor nodes detect common phenomena, a periodic based...
In this paper, the problem of mobility handling in wireless sensor network (WSN) is studied with a simple priority backoff technique. To incorporate this technique for stationary and mobile sensor nodes, a novel hybrid MAC protocol called VMAC is designed with a fixed frame length. VMAC combines the advantages of schedule-based MAC for energy savings and contention-based MAC for short transmission...
This work presents the problem of target tracking and relay localization in wireless sensor networks (WSN) based on quantized proximity sensors. Thus, we use the quantized variational filtering (QVF) in order to estimate jointly the target position and the relay location. Recently, variational filtering has been proved to be suitable to the communication constraints of WSN. However, this problem has...
In this paper analytical solution of fastest mixing Markov chain problem over a sensor network with K-partite topology is provided. The solution procedure consists of Stratification of sensor network's connectivity graph and semidefinite programming. The studied topologies are evaluated in terms of asymptotic and per step convergence rates. The obtained optimal transition probabilities have been compared...
Intelligent Transportation System (ITS) is to utilize the sensing, networking and information technologies for transport applications such as road and vehicles. In ITS, various sensors and networks play a vital role in the capturing and transmitting of transportation information. Especially, wireless networks' spectrum resource and reliability are important factors in this system. In this paper, we...
Multimedia networking has been expanding its definition beyond communications of text, image, audio, and video as the Next Generation Internet evolves from social networks to cyber-physical networks. One application related to transportation infrastructure includes health monitoring of existing paved and un-surfaced roads. Embedding remote sensing and spatial information technology into roadways facilitates...
The worst case scenario for the life cycle of a sensor network is the fragmentation of a network which still has many functional and well-powered nodes. The loss of connectivity renders even the functional nodes useless as the nodes are not able to transmit their observations to the sink. A well-engineered sensor network will not fragment due to the energy consumption occurring during normal functioning...
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