Energy Efficient Data Query, Processing and Routing Techniques for Green Wireless Sensor Networks

2013 ◽  
pp. 1331-1356
Author(s):  
Afshin Behzadan ◽  
Alagan Anpalagan
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Critical Role ◽  
Point Of View ◽  
Wireless Sensor ◽  
Wireless Devices ◽  
Efficient Data ◽  
Sensor Networking ◽  
Management Techniques

While wireless sensor networking plays a critical role in many important applications, it also contributes to the energy footprint - which continues to increase with the proliferation of wireless devices and networks worldwide. Energy-efficiency becomes a major concern in the development of next generation sensor systems and networks. This chapter discusses data management techniques from energy efficiency point of view for green wireless sensor networks.

Energy Efficient Data Query, Processing and Routing Techniques for Green Wireless Sensor Networks

2012 ◽  
pp. 275-301
Author(s):  
Afshin Behzadan ◽  
Alagan Anpalagan
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Critical Role ◽  
Point Of View ◽  
Wireless Sensor ◽  
Wireless Devices ◽  
Efficient Data ◽  
Sensor Networking ◽  
Management Techniques

While wireless sensor networking plays a critical role in many important applications, it also contributes to the energy footprint - which continues to increase with the proliferation of wireless devices and networks worldwide. Energy-efficiency becomes a major concern in the development of next generation sensor systems and networks. This chapter discusses data management techniques from energy efficiency point of view for green wireless sensor networks.

scholarly journals Energy-Efficient Data Gathering Scheme Based on Broadcast Transmissions in Wireless Sensor Networks

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Soobin Lee ◽  
Howon Lee
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Gathering ◽  
Wireless Sensor ◽  
Distributed Data ◽  
Improve Energy Efficiency ◽  
Wireless Medium ◽  
Important Challenge ◽  
Efficient Data

Improving energy efficiency is the most important challenge in wireless sensor networks. Because sensing information is correlated in many sensor network applications, some previous works have proposed ideas that reduce the energy consumption of the network by exploiting the spatial correlation between sensed information. In this paper, we propose a distributed data compression framework that exploits the broadcasting characteristic of the wireless medium to improve energy efficiency. We analyze the performance of the proposed framework numerically and compare it with the performance of previous works using simulation. The proposed scheme performs better when the sensing information is correlated.

An Uniform Cluster-Based Routing Protocol for Wireless Sensor Networks

2012 ◽  
Vol 433-440 ◽  
pp. 3608-3613
Author(s):  
Xin Guo ◽  
Fei Qi Deng
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Limited Resource ◽  
Wireless Sensor ◽  
Hybrid Mode ◽  
Communication Mode ◽  
Efficient Data ◽  
Efficient Data Collection

The purpose of routing protocol is to achieve efficient data collection by making use of the limited resource in wireless sensor networks, which prolongs the lifetime of networks. Energy efficiency of the single hop or multi-hop communication mode is researched taking the uneven energy consumption caused by solely single hop or multi-hop mode into account. A hybrid communication mode in which nodes alternate between single hop and multi-hop mode with certain time proposed based on even cluster protocol. The simulation result verifies that hybrid mode provides the better energy efficiency as well as evener energy dissipation.

Performance Analysis of TBC-ACO Routing Protocol with Existing Routing Protocols of Wireless Sensor Networks

2017 ◽  
Vol 7 (8) ◽  
pp. 169
Author(s):  
A. Radhika ◽  
D. Haritha
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Swarm Intelligence ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Congestion Aware

Wireless Sensor Networks, have witnessed significant amount of improvement in research across various areas like Routing, Security, Localization, Deployment and above all Energy Efficiency. Congestion is a problem of  importance in resource constrained Wireless Sensor Networks, especially for large networks, where the traffic loads exceed the available capacity of the resources . Sensor nodes are prone to failure and the misbehaviour of these faulty nodes creates further congestion. The resulting effect is a degradation in network performance, additional computation and increased energy consumption, which in turn decreases network lifetime. Hence, the data packet routing algorithm should consider congestion as one of the parameters, in addition to the role of the faulty nodes and not merely energy efficient protocols .Nowadays, the main central point of attraction is the concept of Swarm Intelligence based techniques integration in WSN.  Swarm Intelligence based Computational Swarm Intelligence Techniques have improvised WSN in terms of efficiency, Performance, robustness and scalability. The main objective of this research paper is to propose congestion aware , energy efficient, routing approach that utilizes Ant Colony Optimization, in which faulty nodes are isolated by means of the concept of trust further we compare the performance of various existing routing protocols like AODV, DSDV and DSR routing protocols, ACO Based Routing Protocol  with Trust Based Congestion aware ACO Based Routing in terms of End to End Delay, Packet Delivery Rate, Routing Overhead, Throughput and Energy Efficiency. Simulation based results and data analysis shows that overall TBC-ACO is 150% more efficient in terms of overall performance as compared to other existing routing protocols for Wireless Sensor Networks.

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