A new hierarchical belief-rule-based method for reliability evaluation of wireless sensor network

Data aggregation algorithms play a primary role in WSN, as it collects and aggregates the data in an energy efficient manner so that the life expectancy of the network is extended. This paper intends to develop a query-based aggregation model for WSN using the advanced optimization algorithm called group search optimization (GSO). The proposed model is constructed in such a way that the querying order (QO) can be ranked based on latency and throughput. Accordingly, the main objective of the proposed GSO-based QO is to minimize the latency and maximize the throughput of WSN. The proposed data aggregation model facilitates the network administrator to understand the best queries so that the performance of the base station can be improved. After framing the model, it compares the performance of GSO-based QO with the traditional PSO-based QO, FF-based QO, GA-based QO, ABC-based QO and GSO-based QO in terms of idle time and throughput. Thus the data aggregation performance of proposed GSO-based QO is superior to the traditional algorithms by attaining high throughput and low latency.

Intelligent Query-Based Data Aggregation Model and Optimized Query Ordering for Efficient Wireless Sensor Network

The wireless sensor network (WSN) is one of the resource constrained ad-hoc communication networks, having limited resources such as storage space, energy and computational capability. In addition to this it suffers from quick changes in the structure of the wireless link due to variations of the signal strength, interference, and multi-path propagation characteristics. Reliable energy efficient data transmission in WSNs to prolong the network lifetime is an important and challenging issue. In general, there are several approaches like multi-path routing and source coding, automatic repeat request, used for providing reliable data transfer in WSNs. But the overhead and performance of such end-to-end single-path approaches are often dominated by congestion as well as some poor-quality links or nodes on the path. That is, these traditional approaches are not able to quickly and properly react in this multi-hop wireless environment. To cope with the above issues, in this paper we propose an energy efficient reliable data transfer scheme named as "Adaptive Sectoring Scheme for Reliability (ASSR)" for WSNs. In this approach, the given sensor field is divided into sectors activated one at a time by the occurrence of an event. To minimize the congestion as well as to increase the throughput with maximum packet delivery ratio, the sectoring process is adjusted dynamically to ensure reliable data transmission. Simulation experiments show that the proposed scheme leads to an improvement of the reliability and energy consumption.

Energy efficient reliable data transmission in resource constrained Ad-Hoc communication networks

In this paper the performance of an adaptive sectoring ad hoc on demand distance vector based routing algorithm applied for overall reliability improvement of wireless sensor networks (WSNs) with limited resources is considered. Reliable and energy efficient data transmission in WSNs to prolong their network lifetime is an important and challenging issue, which is proposed to be solved via the implementation of an energy efficient reliable data transfer scheme for WSNs named as “Adaptive Sectoring Scheme for Reliability”. In this approach, a given sensor field is divided into sectors activated one at a time by the occurrence of an event. To minimize the congestion as well as to increase the energy efficiency and maximize the packet delivery ratio, the sectoring process is adjusted dynamically according to a predefined reliability of the data transfer. Simulation experiments show that the proposed scheme leads to an improvement in reliability and energy consumption.

Performance Analysis of AODV with Sectoring in Resource Constrained Ad-Hoc Communication Network

Objectives: This study was conducted to identify Quality of Service parameters used in network. Different reliability types and performance metrics needed to predict reliability in wireless sensor network. Methods/Analysis: Sectoring scheme can be used for partitioning of network into different sectors. This scheme is used to improve reliability in wireless sensor network. Findings: In existing method various clustering algorithms are used for partitioning of network. Clustering consists of position of cluster head and if it far away from the sink in large network, the cluster node utilizes more energy. Therefore, for WSNs, it is especially vital to intend an algorithm to divide sensors in sectors to maximize the reliability (packet) and minimize the energy consumption apply for transformation of information from the sensor nodes to the base station i.e., sink node. Application/Improvement: Sectoring scheme is unique method used to acquire more packet delivery ratio i.e., the reliability of a sensor based network. To achieve reliability, different factors need to be considered for network review like number of sectors, angle between two sectors, packet size, node density, MAC protocols and Routing protocols.

A Survey on Reliability in Wireless Sensor Network

This paper emphasis on different hierarchical routing protocols in wireless sensor network. The Clustering approached is used in LEACH protocol for better communication with energy saving. The Sectoring Scheme is used in MARS approach for dividing the sensor network into different sectors. It improves reliability of an application or network. The working of both the approaches is explained in algorithmic form. The mathematical modeling of LEACH and MARS protocol is discussed.

R. Nandhini

Papers

A Survey on Reliability in Wireless Sensor Network

Modeling of clustering and sectoring approach in WSN