Abstract

The energy utilization of sensor nodes in large scale wireless sensor network points out the crucial need for scalable and energy efficient clustering protocols. Since sensor nodes usually operate on batteries, the maximum utility of network is greatly dependent on ideal usage of energy leftover in these sensor nodes. In this paper, we propose an Energy Efficient Cluster Based Scheduling Scheme for wireless sensor networks that balances the sensor network lifetime and energy efficiency. In the first phase of our proposed scheme, cluster topology is discovered and cluster head is chosen based on remaining energy level. The cluster head monitors the network energy threshold value to identify the energy drain rate of all its cluster members. In the second phase, scheduling algorithm is presented to allocate time slots to cluster member data packets. Here congestion occurrence is totally avoided. In the third phase, energy consumption model is proposed to maintain maximum residual energy level across the network. Moreover, we also propose a new packet format which is given to all cluster member nodes. The simulation results prove that the proposed scheme greatly contributes to maximum network lifetime, high energy, reduced overhead, and maximum delivery ratio.

Highlights

  • IntroductionMost applications rely on the sensors deployed in hard-toreach areas

  • Throughout this work we have concentrated on the main characteristics of sensor networks such as network lifetime and energy consumption

  • Since it greatly reduces the total amount of communications as well as the energy spent, independent of the growth of wireless sensor vetwork (WSN), it becomes highly suitable for real-time large scale WSNs

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Summary

Introduction

Most applications rely on the sensors deployed in hard-toreach areas In such scenarios, it is unrealistic for any kind of manual intervention to replace battery. It is unrealistic for any kind of manual intervention to replace battery The probability of these dispensable sensor nodes to stay alive within the network is based on their energy depletion levels. The scheduling algorithm presented allocates different time slots for the cluster members to send their energy information and actual data information to their corresponding CHs. The need for clustering in WSNs is motivated in Section 1 and a briefing on the sensor network pattern is given.

Related Work
Implementation of Proposed Scheme
Simulation
Conclusion
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