Optimization models for determining performance benchmarks in wireless sensor networks (original) (raw)

Wireless Sensor Networks: An Overview from an Optimization Perspective

2014

Wireless Sensor Networks (WSNs) have established themselves as the modern and future standard when it comes to networking applications. Wireless Sensor Networks (WSNs) are self-configured, infrastructure-less and consist of numerous nodes, which form the network structure. They have seen a variety of use in modern measurement and environmental analysis applications over the recent years and such applications of wireless sensor networks are being continuously studied and developed for even better overall performance. The nature and setup of wireless sensor networks allows for some important applications such as monitoring physical and environmental conditions like temperature, sound, vibrations, pressure and motion. As per the wireless sensor network structure, these measurements are then transferred to sinks and base stations from the nodes, for further study and analysis, basically the usage of data. This wireless sensor network standard does come with a few of its own problems, wh...

An Efficient Analysis on Performance Metrics for optimized Wireless Sensor Network

— Wireless Sensor Networks have the revolutionary significance in many new monitoring applications and self-organized systems. Based on the nature of application WSN are needed to support various levels of Quality of Services. Quality of service parameters are most significant aspect in WSN during data transmission from sensor nodes to sink. This paper surveys the factor on reliability, predictability, sustainability, optimal clustering and scheduling by analyzing various models existing in WSN. A network that satisfies all these Qos parameters ensures outstanding throughput in performance. We concluded by exploring some of the dimensions for research interest and addressed open issues ahead to enhance the performance of WSNs.

PERFORMANCE IMPROVEMENT OF WIRELESS SENSOR NETWORKS

IAEME PUBLICATION, 2019

Using a mobile sink to reduce the energy consumption of nodes and to prevent the formation of energy holes in wireless sensor networks (WSNs). Benefits are dependent on the path taken by the mobile sink, particularly in delay sensitive applications ,as all sensed data must be collected within a given time constraint. An approach proposed to address this challenge is to form a hybrid moving pattern in which a mobile sink node only visits rendezvous points (RPs), as opposed to all nodes. Sensor nodes that are not RPs forward their sensed data via multi-hopping to the nearest RP node. Fundamental problem becomes computing a tour that visits all the RPs within a given delay bound. Identifying the optimal tour, however is an NP hard problem. To address this problem Weighted Rendezvous Planning(WRP) method is proposed whereby each sensor node is assigned a weight corresponding to its hop distance from the tour and the number of data packets that it forwards to the closest RP.WRP enables a mobile sink to retrieve all sensed data within a given deadline while conserving the energy expenditure of sensor nodes. More specifically, WRP reduces energy consumption and also increases the network lifetime as compared with existing methods.

An Analysis of the Performance of Wireless Sensor Networks

Designing energy-efficient algorithms becomes an important factor for extending the lifetime of sensors while still meeting functional requirements in a Wireless sensor network. It is well acknowledged that clustering is an efficient way to save energy for sensor networks. In multi-hop networks clustering is very effective in reducing communications. Cluster head role rotation and duty-cycling of nodes are two effective ways to balance energy consumption. CH rotation, also called local delegation has minimum overhead thus minimizing delay in data transmission compared to the case when re-clustering is to be done globally during which period no data transmission can take place. We propose a theoretical investigation of the parameters for optimal deployment of WSN taking into account clustering and CH rotation. The optimality considered is in view of energy cost as well as network lifetime.