This paper proposes a Context Aware Agent based Military Sensor Network (CAMSN) to form an improved infrastructure for multi-sensor image fusion. It considers contexts driven by a node and sink. The contexts such as general and critical object detection are node driven where as sensing time (such as day or night) is sink driven. The agencies used in the scheme are categorized as node and sink a...

In wireless sensor networks, the sensors collect data and deliver it to a sink node. Most of the existing proposals deal with the traffic flow problem to deliver data to the sink node in an energy-efficient manner. In this paper, we extend this problem into a multi-sink case. To maximize network lifetime and to ensure fairness, we propose (i) how to position multiple sink nodes in a sensor netw...

In this paper, we address the problem of deploying sink nodes in a wireless sensor network such that the resulting network topology be robust. In order to measure network robustness, we propose a new metric, called persistence, which better captures the notion of robustness than the widely known connectivity based metrics. We study two variants of the sink deployment problem: sink selection and...

Moving the sink node is an effective solution for improving the lifetime of wireless sensor networks (WSN). Different methods in the literature schedule sink movements and determine sink stay points. This paper provides another insight to the sink mobility problem in WSNs by incorporating node-load parameters into a matrix and using this matrix to determine which sink site to visit in each roun...

Gibberellins (GAs) are plant growth regulators that are known to stimulate physiological responses in plants and alter the source–sink metabolism through their effect on photosynthesis and sink formation. GAs promote fructose-1,6-biphosphatase and sucrose phosphate synthase and stimulate phloem loading. Photosynthate translocation from source to the developing sink is a major contributing facto...

In multi-hop wireless sensor networks that are characterized by many-to-one (convergecast) traffic patterns, problems related to energy imbalance among sensors often appear. When the transmission range is fixed for nodes throughout the network, the amount of traffic that sensors are required to forward increases dramatically as the distance to the data sink becomes smaller. Thus, sensors closes...

We propose a learning-based approach to efficiently forward data to a mobile sink in a wireless sensor network. Specifically we assume a push application where the mobile sink does not initiate the query. Furthermore, the sink moves in a randomized pattern within the sensor field. In the presented scheme, Moles (nodes that sense the sink) learn the sink’s movement pattern over time and statisti...