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We describe ALARM-NET, a wireless sensor network for assisted-living and residential monitoring. It integrates environmental and physiological sensors in a scalable, heterogeneous architecture. A query protocol allows real-time collection and processing of sensor data by user interfaces and back-end analysis programs. One such program determines circadian(More)
In wireless sensor networks (WSNs), there are numerous factors that may cause network congestion problems, such as the many-to-one communication modes, mutual interference of wireless links, dynamic changes of network topology and the memory-restrained characteristics of nodes. All these factors result in a network being more vulnerable to congestion. In(More)
A limit DV-hop (LDV-hop) algorithm is put forward based on comprehensive analysis of DV-hop localization algorithms, in order to satisfy the characters of low cost and low power in WSNs. The least hop number between nodes and landmarks is counted firstly and the distance in hops is then computed. Finally the coordinates of nodes are determined. LDV-hop(More)
In light of the problems of low recognition efficiency, high false rates and poor localization accuracy in traditional pipeline security detection technology, this paper proposes a type of hierarchical leak detection and localization method for use in natural gas pipeline monitoring sensor networks. In the signal preprocessing phase, original monitoring(More)
RSSI-based localization is popular for its low cost and low complexity. Aiming at the noisy indoor environment that affects the accuracy of RSSI-based localization, this paper proposes a novel algorithm based on interval analysis to reduce the localization error and improve its robustness. In the ranging phase, we utilize Bootstrap resample to construct the(More)
For large-scale wireless sensor networks (WSNs) with a minority of anchor nodes, multi-hop localization is a popular scheme for determining the geographical positions of the normal nodes. However, in practice existing multi-hop localization methods suffer from various kinds of problems, such as poor adaptability to irregular topology, high computational(More)
A Self-adaption Link-quality Detection Algorithm(SLDA) is proposed to implement the Data Collecting in Opportunistic Sensor Network. The new scheme adopts Self adaptive Link-quality Detection strategy to measure the real time link quality weight factor (LQWF), and combines energy consumption model of mobile nodes to predict optimal transmission path for(More)