In this paper, deployment of heterogeneous sensors in a field with preferential areas is studied. The problem is formulated using a mathematical program and solved optimally with an objective function that maximizes the coverage of the monitored field. The formulation considers several operation capabilities of the sensing devices including reliability, mobility, mobility cost, lifespan and power self-scheduling, as well as fields with preferential areas. For large-scale problems, a two-phase approach is proposed. A set of deployment patterns is first generated; and then assigned to the available devices considering their limited operational capabilities. Different sets of conducted experiments demonstrate the benefits of using heterogeneou...
In this paper we study the following problem: we are given a certain one- ortwo-dimensional region ...
Abstract—In this paper we propose GREASE, a distributed algorithm to deploy mobile sensors in an unk...
Abstract—Sensor deployment is a critical issue because it affects the cost and detection capability ...
The problem of optimally deploying a heterogeneous set of sensing devices in environments with diffe...
In this paper we investigate the problem of heterogeneous sensor deployment in preferential areas. T...
A modeling framework for the problem of deploying a set of heterogeneous sensors in a field with tim...
Abstract: The deployment of sensors on a given field is an important issue that affects wireless sen...
Efficient deployment strategies are proposed for a mobile sensor network, where the coverage priorit...
In the paper a solution to the sensor network coverage problem is proposed, based on the usage of mo...
In this paper we study the following problem: given a set of m sensors that collectively cover a set...
Providing field coverage is a key task in many sensor network applications. With unevenly distribute...
Abstract- We present two algorithms for the efficient placement of sensors in a sensor field. The pr...
Providing field coverage is a key task in many sensor network applications. With unevenly distribute...
In this paper we address the problem of deploying heterogeneous mobile sensors over a target area. W...
We study the heterogeneous wireless sensor networks (WSNs) and propose the necessary condition of th...
In this paper we study the following problem: we are given a certain one- ortwo-dimensional region ...
Abstract—In this paper we propose GREASE, a distributed algorithm to deploy mobile sensors in an unk...
Abstract—Sensor deployment is a critical issue because it affects the cost and detection capability ...
The problem of optimally deploying a heterogeneous set of sensing devices in environments with diffe...
In this paper we investigate the problem of heterogeneous sensor deployment in preferential areas. T...
A modeling framework for the problem of deploying a set of heterogeneous sensors in a field with tim...
Abstract: The deployment of sensors on a given field is an important issue that affects wireless sen...
Efficient deployment strategies are proposed for a mobile sensor network, where the coverage priorit...
In the paper a solution to the sensor network coverage problem is proposed, based on the usage of mo...
In this paper we study the following problem: given a set of m sensors that collectively cover a set...
Providing field coverage is a key task in many sensor network applications. With unevenly distribute...
Abstract- We present two algorithms for the efficient placement of sensors in a sensor field. The pr...
Providing field coverage is a key task in many sensor network applications. With unevenly distribute...
In this paper we address the problem of deploying heterogeneous mobile sensors over a target area. W...
We study the heterogeneous wireless sensor networks (WSNs) and propose the necessary condition of th...
In this paper we study the following problem: we are given a certain one- ortwo-dimensional region ...
Abstract—In this paper we propose GREASE, a distributed algorithm to deploy mobile sensors in an unk...
Abstract—Sensor deployment is a critical issue because it affects the cost and detection capability ...