A Novel Cluster Head Selection Method for Energy Efficient Wireless Sensor Network

Nayak, Basanta K.; Mishra, Monalisa; Champati, Satyananda; Pradhan, Sateesh Kumar

doi:10.1109/icit.2014.74

Cited by 7 publications

(8 citation statements)

References 9 publications

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“…The optimal multi-sinks positioning problem in a network is NP-complete [17]. Here the problem faced is an infinite space of solutions since a sink position is defined by a couple of real numbers.…”

Section: Optimum Searchmentioning

confidence: 99%

Multi-sink Optimal Repositioning for Energy and Power Optimization in Wireless Sensor Networks

Yasotha

Gopalakrishnan²,

Mohankumar

2015

Wireless Pers Commun

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A wireless sensor network (WSN) plays a major role in many recent applications now such as surveillance and security, target tracking, agriculture, health and military purposes. The main problem with WSN is the energy resource for long lasting lifetime. Therefore an efficient methodology is to be implemented for improving the energy level of WSN. Also some efforts have focused on the mobility of a single or multiple sink nodes. The mobility of the sink node introduces a tradeoff between the need for frequent re-routing to optimize the performance and the minimization of the overhead resulting from this topology management. In this we propose a novel approach to increase the lifetime of a sensor network based on the mobility, static sink repositioning and multiplicity of sinks. Optimal sink position also identified using optimal search concepts and multipath routing in large scale sensor networks with multiple sink nodes for energy is implemented for entire WSN. Based on the evolution of network in terms of energy dissipation and distribution this approach reaches to find the optimal position for all the sinks in order to optimize the lifetime of the network and move according with intelligent sink positioning. The simulation result shows the efficiency of our approach in terms of energy gain.

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Section: Optimum Searchmentioning

confidence: 99%

Multi-sink Optimal Repositioning for Energy and Power Optimization in Wireless Sensor Networks

Yasotha

Gopalakrishnan²,

Mohankumar

2015

Wireless Pers Commun

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“…Another approach is to use the available energy as metric for the protocol by design, and thus improve the network lifetime. SPIN [12] and GEAR [24] use remaining energy as routing metric, while FLEECH [19] and RECHS [3] use energy in the decision algorithm to select the cluster head.…”

Section: Introductionmentioning

confidence: 99%

Energy Map Model for Software-Defined Wireless Sensor Networks

Nunez¹,

Margi²

2017

Anais De XXXV Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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Wireless sensor networks (WSN) is a technology commonly used for remote monitoring, tracking and detection applications. Since energy efficiency is a major concern in WSN, to know the remaining energy on each node could optimize the energy consumption. We propose a novel method to create an energy map for a Software-Defined Wireless Sensor Network (SDWSN). We implement an energy consumption prediction model into the controller, which obtains information of each node and estimates its energy consumption rate. This approach reduces the node processing overhead and memory usage when compared to other approach available.

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“…Nayak et al addressed these issues in Front Leading Energy Efficient Cluster Heads (FLEECH) protocol [17]. FLEECH outperforms the EEEPSC because it also considers the distance of a node to all its neighbours while electing a node as CH.…”

Section: Related Workmentioning

confidence: 99%

An Energy Efficient and Secure Clustering Protocol for Military based WSN

Ahlawat¹

2017

IJCNIS

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Abstract-Less contiguous nature of military applications demands for surveillance of widespread areas that are indeed harder to monitor. Unlike traditional Wireless Sensor Networks (WSNs), a military based large size sensor network possesses unique requirements/challenges in terms of self-configuration, coverage, connectivity and energy dissipation. Taking this aspect into consideration, this paper proposes a novel, efficient and secure clustering method for military based applications. In any clustering based approach, one of the prime concerns is appropriate selection of Cluster Heads and formation of balanced clusters. This paper proposes and analyzes two schemes, Average Energy based Clustering (AEC) and Threshold Energy based Clustering (TEC). In AEC, a node is elected as Cluster Head (CH) if its residual energy is above the average energy of its cluster whereas in case of TEC, a node is elected as Cluster Head if its residual energy is above the threshold energy. Further, both AEC and TEC choose nodes as CHs if their distance lies within safety zone of the Base Station. In this paper, aim is to come up with a solution that not only conserves energy but balance load while electing safe nodes as CHs. The performance of proposed protocols was critically evaluated in terms of network lifetime, average residual energy of nodes and uniformity in energy dissipation of nodes. Results clearly demonstrated that AEC is successful in incorporating security whilst increasing overall lifetime of network, load balance and uniform energy dissipation.

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A Novel Cluster Head Selection Method for Energy Efficient Wireless Sensor Network

Cited by 7 publications

References 9 publications

Multi-sink Optimal Repositioning for Energy and Power Optimization in Wireless Sensor Networks

Multi-sink Optimal Repositioning for Energy and Power Optimization in Wireless Sensor Networks

Energy Map Model for Software-Defined Wireless Sensor Networks

An Energy Efficient and Secure Clustering Protocol for Military based WSN

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