Visual sensor networks are widely used for surveillance, environmental monitoring and tracking. However, due to the funneling effect, visual sensor nodes (SNs) close to the sink tend to deplete their energy sooner than SNs farther away from the sink resulting in energy hole problem. This energy hole problem significantly increases the unbalanced energy usage among SNs and leads to premature dec...

Due to mobility of the node, the packet loss occurs often while the nodes are moving out of range, or the node has not enough either path and link stability or neighbour node stability. In this paper we propose modified stability scheme to make a correct balance between stability of path, link, neighbour node and total mobile nodes to extend the network lifetime. The main of the proposed work i...

A node non-uniform deployment based on clustering algorithm for underwater sensor networks (UWSNs) is proposed in this study. This algorithm is proposed because optimizing network connectivity rate and network lifetime is difficult for the existing node non-uniform deployment algorithms under the premise of improving the network coverage rate for UWSNs. A high network connectivity rate is achie...

Wireless sensor networks have emerged as a promising technology for a wide range of important applications. Energy conservation and prolonging the network lifetime are significant challenges in the design and implementation of wireless sensor networks. Clustering techniques have emerged as a popular choice for prolonging the lifetime of a wireless sensor network. In this paper, we propose a Two...

In this paper we propose a novel communication protocol for studying the upper bounds on the lifetime of a video sensor network. Such networks are typically small due to their cost. Also, video sensors may have different transmission rates and data aggregation is difficult. Sensors are organized into clusters and a linear programming model is introduced for calculating a cluster head rotation s...

Wireless Sensor Networks consist of inexpensive nodes that are positioned over an area to collect the useful information and send the valuable data to the base station for further processing. In wireless sensor networks, nodes have limited power and shorter lifetime. So, it is crucial to aggregate the data in Energy Efficient manner and optimize the lifetime of the network. To solve the issue, ...

In this paper we propose a novel mathematical model for calculating the upper bounds on the lifetime of a sensor network. Sensors are organized into clusters and a linear programming model is introduced for calculating a cluster head rotation schedule. Unlike most other clustering algorithms, our algorithm maximizes the network lifetime rather than minimizing the energy dissipation of sensors. ...

Please cite this article in press as: W. Liang et a Sci. (2010), doi:10.1016/j.ins.2010.10.006 Top-k query in a wireless sensor network is to find the k sensor nodes with the highest sensing values. To evaluate the top-k query in such an energy-constrained network poses great challenges, due to the unique characteristics imposed on its sensors. Existing solutions for top-k query in the literatu...

Wireless sensor networks (WSNs) suffers from the hot spot problem where the sensor nodes closest to the base station are need to relay more packet than the nodes farther away from the base station. Thus, lifetime of sensory network depends on these closest nodes. Clustering methods are used to extend the lifetime of a wireless sensor network. However, current clustering algorithms usually utili...

Data transmission from sensor nodes to a base station or a sink node often incurs significant energy consumption, which critically affects network lifetime. We generalize and solve the problem of deploying multiple base stations to maximize network lifetime in terms of two different metrics under one-hop and multihop communication models. In the one-hop communication model, the sensors far away...