Energy Efficient Data Gathering Using Spanning Trees For Wireless Sensor Networks
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Energy Efficient Data Gathering Using Spanning Trees for Wireless Sensor Networks
With the advancement of micro-sensor and radio technology, wireless sensor networks (WSNs) are deployed in various applications. In a continuous monitoring application, sensors gather information and transmit the sensed data to the base station in a periodic manner. In each data gathering round, a node generates a data packet and transmits it to the base station, or to another node; the data packets received from neighboring nodes can be aggregated. The lifetime of the WSN is defined as the time (rounds) until the base station receives data from all sensors in the network. In a data gathering round, the single best routing tree consumes lowest energy from all nodes but assigns more load to some sensors. As a result, the energy resources of the heavily loaded nodes are depleted earlier than others, which reduces network lifetime. This thesis proposes two multi-hop routing algorithms for a homogeneous network to maximize the network lifetime. The first proposed algorithm uses a greedy approach (Energy Efficient Spanning Tree, EESR) while the other uses a genetic algorithm (GA). The proposed algorithms generate balanced and energy efficient data aggregation trees for WSNs. The simulation results show that the proposed algorithms outperform the traditional data aggregation algorithms in terms of extending network lifetime. Moreover, the results show that the greedy approach (EESR) performs better when the base station is placed outside and genetic approach performs better when the base station is placed inside the network field.
Energy-Efficient Wireless Sensor Networks
The advances in low-power electronic devices integrated with wireless communication capabilities are one of recent areas of research in the field of Wireless Sensor Networks (WSNs). One of the major challenges in WSNs is uniform and least energy dissipation while increasing the lifetime of the network. This is the first book that introduces the energy efficient wireless sensor network techniques and protocols. The text covers the theoretical as well as the practical requirements to conduct and trigger new experiments and project ideas. The advanced techniques will help in industrial problem solving for energy-hungry wireless sensor network applications.
Wireless Sensor Networks
Author: Suraiya Tarannum
language: en
Publisher: BoD – Books on Demand
Release Date: 2011-06-30
The importance and ubiquity of wireless networks in the modern age justifies the depth and scope of the chapters included in this book, with its special focus on sensors. Topics covered include MAC protocols, with one contribution offering a literature review on them. Energy efficiency is also important, with several chapters addressing cooperative beamforming, modern spatial-diversity techniques and MEMS. Hardware issues are addressed by a batch of chapters, on extending network coverage areas, CMOS RF transceivers, the use of an accelerometer sensor module and a fall-detection monitoring system and a couple of contributions on hierarchical paradigms in wireless sensor networks. More mathematical approaches are also included, with chapters on data aggregation tree construction and distributed localization algorithms.