Network Energy Driven Wireless Sensor Networks

Author(s):  
Swades De ◽  
Shouri Chatterjee

Scarcity of energy in tiny battery-powered wireless sensor nodes have led to a tremendous amount of research thrust at all protocol levels in wireless networks. Despite efficient design of the underlying communication protocols, limited battery energy primarily restricts the usage of nodes and hence the lifetime of the network. As a result, although there has been a lot of promise of pervasive networking via sensors, limited energy of the nodes has been a major bottleneck to deployment feasibility and cost of such a network. With this view, alongside many innovative network communication protocol research to increase nodal as well as network lifetime, there have been significant ongoing efforts on how to impart energy to the depleted batteries on-line. In this chapter, we propose to apply the lessons learnt from our surrounding nature and practices of the living world to realize network energy operated field sensors. We show that, although the regular communicating nodes may not benefit from network energy harvesting, by modifying the carrier sensing principle in a hierarchical network setting, the low power consuming field nodes can extend their lifetimes, or even the scavenged RF energy can be sufficient for the uninterrupted processing and transmission activities of the field nodes.

Author(s):  
Oluwadara J. Odeyinka ◽  
Opeyemi A. Ajibola ◽  
Michael C. Ndinechi ◽  
Onyebuchi C. Nosiri ◽  
Nnaemeka Chiemezie Onuekwusi

This paper is a review on energy conservation in wireless sensor networks (WSNs). Due to the nature of wireless sensor nodes in terms of deployment and their common usage in terrains with limited access, recharging or replacing sensor nodes batteries may be difficult. This paper examined various sources of energy in WSNs Battery, energy harvesting and energy transference. Also, various energy usage operations and energy wastage activities in WSNs were examined, and comparisons of different routing protocols based on network structure, energy dissipation, data communication cost, and entire energy usage in WSNs were itemized. The prospects of the machine learning (ML) approach in addressing energy constraint issues in WSNs were reviewed. This paper recommends a compound approach in routing decisions to maximize energy usage operation and minimize energy wastage activities, consideration for energy harvesting and transference mechanisms, and exploring the potentials in ML algorithms to resolve energy problem in wireless sensor networks.


2006 ◽  
pp. 51-69
Author(s):  
Vijay Raghunathan ◽  
Curt Schurgers ◽  
Sung Park ◽  
Mani B. Srivastava

Author(s):  
K. Panimozhi ◽  
G. Mahadevan

Wireless sensor nodes consist of a collection of sensor nodes with constrained resources in terms of processing power and battery energy. Wireless sensors networks are used increasingly in many industrial and consumer applications. Sensors detect events and send via multi hop routing to the sink node for processing the event. The routing path is established through proactive or reactive routing protocols. To improve the performance of the Wireless Sensor Networks, multi stack architecture is addressed. But the multi stack architecture has many problems with respect to life time, routing loop and QOS. In this work we propose a solution to address all these three problems of life time, routing loop and QOS in case of multi stack architecture.


2006 ◽  
pp. 51-69 ◽  
Author(s):  
Vijay Raghunathan ◽  
Curt Schurgers ◽  
Sung Park ◽  
Mani B. Srivastava

Author(s):  
Alejandro Castillo-Atoche ◽  
J. Vazquez-Castillo ◽  
E. Osorio-de-la-Rosa ◽  
J. Heredia-Lozano ◽  
Jaime Aviles Vinas ◽  
...  

Author(s):  
Leander B. Hormann ◽  
Markus Pichler-Scheder ◽  
Christian Kastl ◽  
Hans-Peter Bernhard ◽  
Peter Priller ◽  
...  

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