Controlling Route Discovery for Efficient Routing in Resource-Constrained Sensor Networks

Author(s):  
Abhik Banerjee ◽  
Juki Wirawan Tantra ◽  
Chuan Heng Foh ◽  
Chai Kiat Yeo ◽  
Bu Sung Lee
2015 ◽  
Vol 2015 ◽  
pp. 1-11
Author(s):  
Sohail Jabbar ◽  
Rabia Iram ◽  
Muhammad Imran ◽  
Awais Ahmad ◽  
Anand Paul ◽  
...  

Network lifetime is one of the most prominent barriers in deploying wireless sensor networks for large-scale applications because these networks employ sensors with nonrenewable scarce energy resources. Sensor nodes dissipate most of their energy in complex routing mechanisms. To cope with limited energy problem, we present EASARA, an energy aware simple ant routing algorithm based on ant colony optimization. Unlike most algorithms, EASARA strives to avoid low energy routes and optimizes the routing process through selection of least hop count path with more energy. It consists of three phases, that is, route discovery, forwarding node, and route selection. We have improved the route discovery procedure and mainly concentrate on energy efficient forwarding node and route selection, so that the network lifetime can be prolonged. The four possible cases of forwarding node and route selection are presented. The performance of EASARA is validated through simulation. Simulation results demonstrate the performance supremacy of EASARA over contemporary scheme in terms of various metrics.


Author(s):  
Teemu Laukkarinen ◽  
Lasse Määttä ◽  
Jukka Suhonen ◽  
Timo D. Hämäläinen ◽  
Marko Hännikäinen

Resource constrained Wireless Sensor Networks (WSNs) require an automated firmware updating protocol for adding new features or error fixes. Reprogramming nodes manually is often impractical or even impossible. Current update protocols require a large external memory or external WSN transport protocol. This paper presents the design, implementation, and experiments of a Program Image Dissemination Protocol (PIDP) for autonomous WSNs. It is reliable, lightweight and it supports multi-hopping. PIDP does not require external memory, is independent of the WSN implementation, transfers firmware, and reprograms the whole program image. It was implemented on a node platform with an 8-bit microcontroller and a 2.4 GHz radio. Implementation requires 22 bytes of data memory and less than 7 kilobytes of program memory. PIDP updates 178 nodes within 5 hours. One update consumes under 1‰ of the energy of two AA batteries.


2014 ◽  
Vol 977 ◽  
pp. 484-490
Author(s):  
Run Zeng

Wireless Sensor Networks (WSNs) are used in many applications in military and commercial areas. These applications often include the monitoring of sensitive information such as enemy movement on the battlefield or the location of personnel in a building. However, due to the highly resource constrained in sensor nodes, traditional security strategies always can do few with attacks on WSNs. In this Paper, we proposes a study of attacks and security mechanisms in WSNs. First, we summarize the attacks to WSNs and the security requirements based on the TCP\IP networking model, then we present the security solutions to each attack. Along the way we highlight the advantages and disadvantages of various WSN solutions and further compare and evaluate these solutions.


2009 ◽  
Vol 5 (2) ◽  
pp. 158-184
Author(s):  
R. R. Brooks ◽  
Hemanth Siddulugari

Sensor networks are typically wireless networks composed of resource-constrained battery powered devices. In this paper, we present a criterion for determining whether or not a surveillance sensor network is viable. We use this criterion to compare methods for extending the effective lifetime of the sensor network. The life extension methods we consider are local adaptations that reduce the energy drain on individual nodes. They are communications range management, node repositioning, and data agreement. Simulations of a surveillance scenario quantify the utility of these methods. Our results indicate that data agreement provides the most improvement in network longevity, and communications range management is also useful. Repositioning nodes to reduce the power needed for communications is dependent on the amount of attenuation experienced by the node's communications signal and the volume of traffic between nodes. When these factors are considered, node repositioning is an effective strategy for network life extension. Synergies between the energy conservation approaches are also explored.


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