Energy-Efficient Communication Methods in Wireless Sensor Networks: A Critical Review

Abstract

A Wireless sensor network (WSN) has important applications such as remote ecological monitoring and target tracking. This has been enabled by the availability, particularly in recent years, of sensors that are smaller in size and smart. These sensors are equipped with wireless interfaces with which they can communicate with one another to form a network. Wireless sensor networks consist of sensor nodes with sensing and communication capabilities. As sensor nodes are generally battery-powered devices, the critical aspects to face concern how to reduce the energy consumption of nodes, so that the network lifetime can be improved to reasonable times. In this paper we first describe the energy consumption for components of a typical sensor node, and discuss the main directions to energy saving methods in wireless sensor networks. Then we present a methodical and comprehensive taxonomy of the energy optimization methods in wireless sensor networks. The main goal of energy optimization methods is to collect and aggregate data in an energy efficient manner so that network life time is enhanced. We conclude with possible future research directions. KeywordsWireless sensor network (WSN), Multiple-input Multipleoutput, Energy efficiency, Alamouti diversity schemes.

Load-Balancing Adaptive Clustering Refinement Algorithm for Wireless Sensor Network Clusters

“…The most important observation from those studies [6] to our study is that the energy consumption of the transmission unit is significantly higher than the energy needed to make any kind of computation in a node, and the current estimations are that there is an order of magnitude difference in energy consumption between the two. This shows that transmission should always be traded for computation when possible, in order to preserve power.…”

Mobility based network lifetime in wireless sensor networks: A review

“…However, in some applications, the remaining active sensor nodes after the first one died can still provide appropriate functionalities [40], which makes the first dead sensor node based network lifetime definition too pessimistic. As a result, the authors in [40], [41] called a WSN to be dead if a certain percentage of the total sensors dies; that is, balanced load among the sensor nodes may significantly lead to elongating the network longevity. In the most optimistic point of view, Khan et al in [42] considered that the network is still able to provide useful services until the last sensor dies though this definition is hardly applied for realistic applications, where coverage is a crucial parameter.…”

A Survey of Different Techniques for Energy-Efficient, Reliability and Fault Tolerant in Wireless Sensor Networks

“…In conclusion, authors in [29] proposed various applications for Redundant Residue Number System (RRNS) codes and furthermore exhibited how its codes can be utilized in global communication systems, keeping in mind the end goal to disentangle the related systems by bringing together the whole encoding and interpreting technique crosswise over global correspondence system. They expressed that the RRNS encoding activity can be actualized in light of a gathering of codewords having regular number qualities, by summoning solely expansion tasks.…”