Honeycomb Architecture for Energy Conservation in Wireless Sensor Networks

نویسندگان

  • Ren Ping Liu
  • Glynn Rogers
  • Sihui Zhou
چکیده

Reducing energy consumption has been a recent focus of wireless sensor network research. Topology control explores the potential that a dense network has for energy savings. One such approach is Geographic Adaptive Fidelity (GAF) [1]. GAF is proved to be able to extend the lifetime of self-configuring systems by exploiting redundancy to conserve energy while maintaining application fidelity. However the properties of the grid topology in GAF have not been fully studied. In this paper it is shown that there exists an unreachable corner in the GAF grid architecture. Using an analytical model, we are able to calculate the unreachable probability and analyse its impacts on data delivery. After investigating a couple of lossless topologies, we propose to use the Honeycomb virtual mesh (GAF-h) to replace the square grid. GAF-h is proved to be able to achieve zero loss with little extra cost compared to the original GAF scheme. An efficient honeycomb cell placement and node association algorithm is also proposed. It integrates nicely with the original GAF protocol with little computing overhead.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A JOINT DUTY CYCLE SCHEDULING AND ENERGY AWARE ROUTING APPROACH BASED ON EVOLUTIONARY GAME FOR WIRELESS SENSOR NETWORKS

Network throughput and energy conservation are two conflicting important performance metrics for wireless sensor networks. Since these two objectives are in conflict with each other, it is difficult to achieve them simultaneously. In this paper, a joint duty cycle scheduling and energy aware routing approach is proposed based on evolutionary game theory which is called DREG. Making a trade-off ...

متن کامل

An Efficient Cluster Head Selection Algorithm for Wireless Sensor Networks Using Fuzzy Inference Systems

An efficient cluster head selection algorithm in wireless sensor networks is proposed in this paper. The implementation of the proposed algorithm can improve energy which allows the structured representation of a network topology. According to the residual energy, number of the neighbors, and the centrality of each node, the algorithm uses Fuzzy Inference Systems to select cluster head. The alg...

متن کامل

An Efficient Routing Algorithm to Lifetime Expansion in Wireless Sensor Networks

This paper proposes an efficient network architecture to improve energy consumption in Wireless Sensor Networks (WSN). The proposed architecture uses a mobile data collector to a partitioned network. The mobile data collector moves to center of each logical partition after each decision period. The mobile data collector must declare its new location by packet broadcasting to all sensor node...

متن کامل

An Efficient Routing Algorithm to Lifetime Expansion in Wireless Sensor Networks

This paper proposes an efficient network architecture to improve energy consumption in Wireless Sensor Networks (WSN). The proposed architecture uses a mobile data collector to a partitioned network. The mobile data collector moves to center of each logical partition after each decision period. The mobile data collector must declare its new location by packet broadcasting to all sensor node...

متن کامل

Improving Energy Consumption by Using Cluster Based Routing Algorithm in Wireless Sensor Networks

Multi-path is favorite alternative for sensor networks, as it provides an easy mechanism to distributetraffic, as well as considerate fault tolerance. In this paper, a new clustering based multi path routingprotocol namely ECRR (Energy efficient Cluster based Routing algorithm for improving Reliability) isproposed, which is a new routing algorithm and guarantees the achievement to required QoS ...

متن کامل

HYREP: A Hybrid Low-Power Protocol for Wireless Sensor Networks

In this paper, a new hybrid routing protocol is presented for low power Wireless Sensor Networks (WSNs). The new system uses an integrated piezoelectric energy harvester to increase the network lifetime. Power dissipation is one of the most important factors affecting lifetime of a WSN. An innovative cluster head selection technique using Cuckoo optimization algorithm has been used in the desig...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006