Abstract
Storing, collecting and querying data across miniaturized battery powered Wireless Sensor Networks (WSN) is a key research focus today. Distributed Data-Centric Storage (DCS), an alternate to External Storage (ES) and Local Storage (LS), is thought to be a promising and efficient storage and search mechanism. There has been a growing interest in understanding and optimizing WSN DCS schemes in recent years, where the range query mechanism, similarity search, load balancing, multi-dimensional data search, as well as limited and constrained resources have driven this line of research. In this paper, an extensive state-of-the-art study is provided including the prime WSN DCS schemes, challenges that inspired these schemes, as well as drawbacks and shortcomings of existing solutions. In contrast to previous surveys that briefly discuss the contribution of a few WSN DCS mechanisms, we provide a thematic taxonomy in which schemes are classified according to the problems dealt with including range query, similarity search, data aggregation, sensor network field non-uniformity, multi-replication, load balancing and routing algorithm.
Highlights
Research into sensor networks has increased over the last twenty years
In this paper we provide a thematic classification that presents Data-Centric Storage (DCS) schemes in a different light
Liao, et al propose a grid-based Dynamic Load Balancing (DLB) approach that relies on two schemes: (1) A cover-up scheme to deal with the problem of a storage node whose memory space is depleted and (2) multi-threshold levels to achieve load balancing in each grid and all nodes get load balanced
Summary
Research into sensor networks has increased over the last twenty years. A logical extension of the research carried out into sensor networks has been into the use of wireless transmission to form. The survey, did not cover the requirements and challenges involved in data storage and retrieval methods such as similarity search, data aggregation, range query, multi-replication, non-uniformity of the network, load balancing and so on, rather it briefly depicted different DCS schemes. This classification may be altered to present the DCS approaches according to the problems dealt with. Different DCS approaches in the current state-of-the-art are briefly described and analyzed in Section 3 while Section 4 presents the classification of the DCS schemes based on the challenges illustrated in Section 2 including range query, similarity search, data aggregation, sensor network field non-uniformity, multi-replication, load balancing and routing algorithm. Throughout the paper cost metrics is considered in terms of energy, and it is measured as the number of MAC-layer hops
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