Providing application QoS through intelligent sensor management

Abstract

Abstract-Wireless sensor networks are uniquely characterized by tight energy and bandwidth constraints. These networks should be designed to provide enough data to their application so that a reliable description of the environment can be derived, while operating as energy-efficiently as possible and at the same time meeting bandwidth constraints. These goals are typically contradicting and must be balanced at the point where the application is best satisfied. In this paper, we address the problem of maximizing lifetime for a wireless sensor network while meeting a minimum level of reliability. This maximization is achieved by jointly scheduling active sensor sets and finding paths for data routing. Simulation results show that network lifetime can be significantly increased through such methods.

Maximizing the Lifetime of Query Based Wireless Sensor Networks Using Ftqc Algorithm

“…However, the protocol only concerns QoS in term of reliability. In [7], M. Perillo et al provide application QoS with the objective of maximize the duration of WSNs though satisfying a smallest level of reliability. This maximization is achieved through the combined optimization of scheduling dynamic sensor sets and finding trails for data direction-finding.…”

“…For armed users, a main center has been area monitoring (security and surveillance applications).In query-based systems; a user would issue a query with quality of service (QoS) requirements in terms of consistency and timeliness. Retrieving sensor data such that QoS supplies are satisfied is a challenging difficulty and has not been considered until recently [4,5,6,7,8,9].The common approach is to relate redundancy to assure the QoS requirement. In this paper also interested in applying redundancy to satisfy application particular consistency and timeliness requirements.…”

Adaptive Fault-Tolerant QoS Control Algorithms for Maximizing System Lifetime of Query-Based Wireless Sensor Networks

“…In [7], M. Perillo et al provide application QoS with the goal of maximizing the lifetime of WSNs while satisfying a minimum level of reliability. This maximization is achieved through the joint optimization of scheduling active sensor sets and finding paths for data routing.…”

“…Retrieving sensor data such that QoS requirements are satisfied is a challenging problem and has not been studied until recently [4,5,6,7,8,9]. The general approach is to apply redundancy to satisfy the QoS requirement.…”

A Blueprint for Pervasive Self-Care Infrastructures

“…The Georgia Tech Aware Home [1] and the Smart Medical Home [12] at University of Rochester examine the role of domestic technologies in providing a supportive environment for the elderly. Such agingin-place projects focus primarily on monitoring and notification and often combine a personal information manager and a model of daily activities developed using a combination of sensor signals collected via a home network.…”