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Spatially unbalanced energy consumption among sensors is the most important issue in Wireless Sensor Networks (WSNs). This uneven energy consumption can significantly reduce network lifetime. The use of sink mobility with constrained paths and decreasing the message flood by limiting the flood area can help to improve the energy efficiency in WSNs. Maximum Amount Shortest Path routing (MASP) is an...
This paper considers a cluster-based wireless sensor network (WSN) where each sensor node takes turn to be cluster head. The main function of the cluster head is to oversee the communication within and between clusters while the remaining sensor nodes are involved in sensing of the surrounding environment. We address the sensor utilization problem where non-cluster head nodes in a cluster make decision...
Wireless sensor networks have become one of the most tempting networking technologies since it can be deployed without the need of a communication infrastructure. In general, there are some major concerns with this technology. That is, sensor node should have a long lasting system lifetime. And the system should keep the livability of nodes in a received level during the using process. In such systems...
In this paper, we propose a tiling-based wireless sensor network (WSN) deployment approach based on the polygon model for sensor nodes with directional sensing areas. In the tiling-based deployment approach, a hexagon tile is first generated from the polygon that represents the sensing area of a given directional sensor. Then, a tiling process is applied to place tiles to the deployment area. Both...
The K-connected deployment and power assignment problem (DPAP) in WSNs aims at deciding both the sensor locations and transmit power levels, for maximizing both the network coverage and lifetime under K-connectivity constraints, in a single run. It is shown that the multi-objective evolutionary algorithm based on decomposition (MOEA/D) is a strong enough tool for dealing with unconstraint real life...
Sensing coverage is defined as the ratio of the sensible area to the entire desired area. It is one of the critical measures of performance or service quality offered by a sensor network. In previous studies, the sensing range of a node is generally assumed to be a deterministic value in all directions. In realistic environments, the sensing range of a node is not a constant because of shadowing effects...
Sensor networks specifications are highly dependent on the application defined for the network. Some networks need full coverage while others can fulfill their goal with a partial coverage. Therefore it is important to have an algorithm which can satisfy full range of requirements as a universal solution. Thus a new pre-specified coverage method has been introduced which can be applied in very vast...
In the development of various large-scale sensor systems, a particularly challenging problem is how to dynamically organize the sensor nodes into clusters and route the sensing information to a remote base station. By leveraging the spatial correlation, there have been some noteworthy clustering schemes proposed recently, such as EEDC and ASAP. However, they are based on an impractical assumption...
A wireless sensor network consists of hundreds or thousands of small energy-limited sensors that are densely deployed in a large geographical region. It has been demonstrated that low-energy adaptive clustering hierarchy (LEACH) is an energy-efficient routing algorithm for wireless sensor networks (WSN). In this paper, we present a Time-based cluster-head selection algorithm for LEACH. We call this...
Detecting and providing evolution informations of the wildfire can be a challenge for Wireless Sensor Networks. The network performance is directly related to the placement of the sensors within the field of interest. In this paper, we address the problem of wireless sensor deployment, for the purpose of following wildfire phenomenon. Based on a discrete event simulation using DEVS formalism, we show...
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