Data collection is one of the most important functions provided by wireless sensor networks. In this paper, we study theoretical limitations of data collection and data aggregation in terms of delay and capacity for a wireless sensor network where n sensors are randomly deployed. We consider different communication scenarios such as with single sink or multiple sinks, regularlydeployed or rando...

Clustering has been used as one of energyefficient mechanisms for data routing in wireless sensor networks. In hierarchical routing approaches, cluster heads are responsible for management (e.g. data aggregation, queries dispatch) and transmission of the collected data in the region controlled by them. For efficient data delivery, several researches have proposed various mechanisms for cluster ...

To increase the lifespan of wireless sensor networks (WSN) and preserve the energy of sensors, data aggregation techniques are usually used. Aggregation can be seen as the process by which data sent from sensors to the BS are little-by-little processed by some nodes called aggregator nodes. Aggregators collect data from surrounding nodes and produce a small sized output, thus preventing that al...

The Chinese automotive industry is the largest in the world. Although after-sales services are known to be associated with profitability, it has not obtained its rightful prominence in the Chinese industry. To investigate how the quality of leader-member exchange can influence after-sales services in the Chinese automobile industry, we collected data from individual employees and customers and ...

This paper presents a novel method to disseminate sensor data in a wireless sensor network, called D3 (Data-centric Data Dissemination). The method combines the advantages of data-centric routing like SPIN and directed diffusion and energyefficient MAC protocols such as S-MAC and T-MAC. The protocol’s strengths are its energy-efficiency and its simplicity. Messages are transmitted using broadca...

Sensor network protocols must minimize energy due to their resource-constrained nature. Large amounts of redundant data are produced by the sensors in such networks, however sending unnecessary data wastes energy. One common technique used to reduce the amount of data in sensor is data aggregation. Therefore, we consider the impact and cost of data aggregation in sensor networks to achieve ener...

Multi-hop cluster hierarchy has been presented as an organization for large wireless sensor networks (WSNs) that can provide scalable routing, data aggregation, and querying. In this paper, we revisit the fundamental problem of maintenance of such a hierarchy. To this end, we observe that, due to tightly coupling their operation with the topology of the hierarchy, existing state-of-the-art clus...

Node clustering and data aggregation are popular techniques to reduce energy consumption in large WSNs and a large body of literature has emerged describing various clustering protocols. Unfortunately, for practitioners wishing to exploit clustering in deployments, there is little help when trying to identify a protocol that meets their needs. This paper takes a step back from specific protocol...

In wireless sensor networks with dynamic clustering, the cluster heads are usually not selected on the basis of their locations. This causes irregular distribution of cluster heads and highly variable number of nodes in the clusters. Also, some of the clusters are spread over large areas within the network, causing limited spatial correlation between associated sensor nodes.These irregularities...

A new gradient-based routing protocol is proposed in this paper. It takes into account the minimum hop count and remaining energy of each node while relaying data from source node to the sink. The optimal routes can be established autonomously with our protocol. A simple acknowledgement scheme, which can be implemented without extra overheads, is proposed. Our protocol also employs data aggrega...