Wireless sensor networks have found many applications in detecting events such as security threats, natural hazards, or technical malfunctions. An essential requirement for event detection systems is the long lifetime of battery-powered sensor nodes. This paper introduces a new method for prolonging the wireless sensor network’s lifetime by reducing data transmissions between neighboring sensor nodes that cooperate in event detection. The proposed method allows sensor nodes to decide whether they need to exchange sensor readings for correctly detecting events. The sensor node takes into account the detection algorithm and verifies whether its current sensor readings can impact the event detection performed by another node. The data a...
In smart homes devices take partial control of the house and make decisions that increase its safety...
Wireless sensor network applications, such as those for natural disaster warning, vehicular traffic ...
Smart sensor nodes can process data collected from sensors, make decisions, and recognize relevant e...
Wireless sensor networks have found many applications in detecting events such as security threats, ...
Reliable event detection is one of the hottest research areas in the wireless sensor networks field ...
Lifetime maximization is the key element in the design of sensor-based network applications. The lif...
AbstractSurveillance applications based on Wireless Sensor Networks (WSNs) are energy consumption se...
Event detection has been studied and researched for many years and it has been applied in real world...
In this paper we address the problem of energy-efficient event detection in wireless sensor networks...
Detecting the region of emergent events is an important application of wireless sensor networks. In ...
The wireless sensor network (WSN) technology has attracted increasing attention from industry, acade...
Low-power wireless sensor networks have demonstrated their potential for the detection of rare event...
To ensure event detection and subsequent rapid forwarding of notification messages, wireless sensor ...
Low-power wireless sensor networks have demonstrated their potential for the detection of rare event...
The recent development of wireless wearable sensor networks offers a spectrum of new applications in...
In smart homes devices take partial control of the house and make decisions that increase its safety...
Wireless sensor network applications, such as those for natural disaster warning, vehicular traffic ...
Smart sensor nodes can process data collected from sensors, make decisions, and recognize relevant e...
Wireless sensor networks have found many applications in detecting events such as security threats, ...
Reliable event detection is one of the hottest research areas in the wireless sensor networks field ...
Lifetime maximization is the key element in the design of sensor-based network applications. The lif...
AbstractSurveillance applications based on Wireless Sensor Networks (WSNs) are energy consumption se...
Event detection has been studied and researched for many years and it has been applied in real world...
In this paper we address the problem of energy-efficient event detection in wireless sensor networks...
Detecting the region of emergent events is an important application of wireless sensor networks. In ...
The wireless sensor network (WSN) technology has attracted increasing attention from industry, acade...
Low-power wireless sensor networks have demonstrated their potential for the detection of rare event...
To ensure event detection and subsequent rapid forwarding of notification messages, wireless sensor ...
Low-power wireless sensor networks have demonstrated their potential for the detection of rare event...
The recent development of wireless wearable sensor networks offers a spectrum of new applications in...
In smart homes devices take partial control of the house and make decisions that increase its safety...
Wireless sensor network applications, such as those for natural disaster warning, vehicular traffic ...
Smart sensor nodes can process data collected from sensors, make decisions, and recognize relevant e...