SPIN implementation in TinyOS environment using nesC

Rehena, Zeenat; Kumar, K.R. Shankar; Roy, Sarbani; Mukherjee, Nandini

doi:10.1109/icccnt.2010.5591887

Cited by 8 publications

(3 citation statements)

References 10 publications

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“…In paper [4,6], the authors proposed a scheme named modified SPIN (M-SPIN) and compared its performance with traditional SPIN protocol. The authors proposed that the energy consumption not only depends on sensing the data but also on processing the sensed data and transmitting or receiving them to or from its neighbor nodes.…”

Section: Related Workmentioning

confidence: 99%

Optimization of Clustering in SPIN-C and LEACH for Data Centric Wireless Sensor Networks

Tripathi

Yadav²,

Dadhich

2014

Advances in Intelligent Systems and Computing

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Routing the data in wireless sensor network (WSN) is a main issue in the guaranteed data transmission. Contextually, many algorithms consider the power and resource limitation, energy efficiency, scalability, attributes and location based with the assumption of homogeneous and heterogeneous distribution of nodes for data transferring. Therefore data dissemination is required to provide the effective data transmission from source node to sink node. This paper introduces the cluster head selection scheme used in SPIN to efficiently disseminate observations gathered by individual sensor nodes in the network. The paper proposes the cluster head selection scheme used in SPIN protocol and evaluated the performance of proposed protocol to prolong the time interval from the start of network operation till the death of the first node which is important reliable issues in wireless sensor networks for many feedback applications. The scheme is implemented and simulated with LEACH in NS2.34. Simulation shows proposed protocol exhibits significant performance gains over the LEACH for lifetime of network and guaranteed data transmission.

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Section: Related Workmentioning

confidence: 99%

Optimization of Clustering in SPIN-C and LEACH for Data Centric Wireless Sensor Networks

Tripathi

Yadav²,

Dadhich

2014

Advances in Intelligent Systems and Computing

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“…This analysis reveals that the energy usage has important features which need to be taken into consideration when designing routing protocols for wireless sensor networks. Zeenat Rehena et al (2010) present the simulation result of SPIN [7]. The challenge they solve is programming the SPIN with TinyOS and a new language, nesC.…”

Section: Related Workmentioning

confidence: 99%

An Energy Conservative Wireless Sensor Networks Approach for Precision Agriculture

Shen

2013

Electronics

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Reducing energy consumption of sensor nodes to prolong the lifetime of finite-capacity batteries and how to enhance the fault-tolerant ability of networks are the major challenges in design of Wireless Sensor Networks (WSNs). In this paper, we present an energy-efficient system of WSNs for black pepper monitoring in tropical areas. At first, we optimized the base station antenna height in order to facilitate reliable communication, after which the Energy-efficient Sensor Protocol for Information via Negotiation (ESPIN) routing protocol was utilized to solve the energy saving challenge. We conducted radio propagation experiments in actual black pepper fields. The practical test results illustrate that the ESPIN protocol reduces redundant data transmission and whole energy consumption of network, and enhances the success rate of data transmission compared with traditional Sensor Protocol for Information via Negotiation (SPIN) protocol. To further optimize topology for improving the network lifetime, we designed a symmetrical double-chain (SDC) topology which is suitable to be deployed in farmland and compared the lifetime with traditional tree topology. Experiment results indicate SDC topology has a longer network lifetime than traditional tree topology. The system we designed will greatly help farmers to make more informed decisions on the efficient use of resources and hence improve black pepper productivity.

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“…This analysis reveals that the energy usage is vital factors which need to be taken into consideration while designing routing protocol for wireless sensor network. Zeenat Rehena et al (2010) present the simulation result of SPIN [11]. The challenge they solve is programming the SPIN with TinyOS and a new language nesC.…”

Section: Related Workmentioning

confidence: 99%

Energy conservative Wireless Sensor Networks for black pepper monitoring in tropical area

Li¹,

Shen²

2013

2013 IEEE Global High Tech Congress on Electronics

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One of the main challenges in design of Wireless Sensor Networks (WSNs) is to reduce energy consumption of sensor nodes to prolong lifetime of finite-capacity batteries. In this paper, we design an energy-efficient solution for monitoring the black pepper cultivation in tropical area. Initially, we optimize the base station antenna height in order to facilitate reliable communication. Then Energy-efficient Sensor Protocol for Information via Negotiation (ESPIN) routing protocol is proposed to solve the challenge of energy saving and packet loss. We have conducted radio propagation experiments in actual black pepper fields. The actual test results indicate that the ESPIN protocol reduces redundant data transmission, improves the network lifetime and success rate of data transmission compared with traditional Sensor Protocol for Information via Negotiation (SPIN) protocol.

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SPIN implementation in TinyOS environment using nesC

Cited by 8 publications

References 10 publications

Optimization of Clustering in SPIN-C and LEACH for Data Centric Wireless Sensor Networks

Optimization of Clustering in SPIN-C and LEACH for Data Centric Wireless Sensor Networks

An Energy Conservative Wireless Sensor Networks Approach for Precision Agriculture

Energy conservative Wireless Sensor Networks for black pepper monitoring in tropical area

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