Neighboring Load Balancing Approach in Grid Wireless Sensor Network

نویسنده

  • Ram Kumar
چکیده

As Sensor area network is a vast network with thousands of nodes, the workload increases up to a great exten t. Wireless sensor networks are increasingly gaining importance in various time critical applications. As a sensor node has fix power to work on, when the load exceeds its threshold value, it starts behaving abnormally and starts packet as well as energ y loss while the corner nodes are underutilized. This uneven load distribution results in heavily loaded nodes to discharge fas ter as compared to others. This causes few over-utilized nodes which fail and result in formation of holes in network, resulting in increase of failed messages in the network. This increased workload leads to increase in packet loss and decrease in network lifetime. Even the rate of message failure as well as node failure due to network congestion also increases. In order to avoi d such problems and enhance the network lifetime, we are introducing a new algorithm for the purpose of load balanc ing i.e. Neighboring Load Balancing. Neighboring Load Balancing is a type of load balancing approach in which load has to be distributed on neighboring nodes instead of central nodes in which an All to All communication mode has been assumed. In this, the load is distributed on all those neighboring nodes which are in coverage area of central node.

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 Min-Max Inspired Intelligent Approach to Perform Load balancing in Wireless Network

A Sensor area network can be a vast network with thousands of nodes and because of this the work load over the network increases in terms of transmitted signals. In the grid network, one side contains the transmitters and other side contains the transceivers. As the generic approach the routing algorithm will use the shortest path approach for transmitting data over the network. In such type of...

متن کامل

Region Directed Diffusion in Sensor Network Using Learning Automata:RDDLA

One of the main challenges in wireless sensor network is energy problem and life cycle of nodes in networks. Several methods can be used for increasing life cycle of nodes. One of these methods is load balancing in nodes while transmitting data from source to destination. Directed diffusion algorithm is one of declared methods in wireless sensor networks which is data-oriented algorithm. Direct...

متن کامل

Region Directed Diffusion in Sensor Network Using Learning Automata:RDDLA

One of the main challenges in wireless sensor network is energy problem and life cycle of nodes in networks. Several methods can be used for increasing life cycle of nodes. One of these methods is load balancing in nodes while transmitting data from source to destination. Directed diffusion algorithm is one of declared methods in wireless sensor networks which is data-oriented algorithm. Direct...

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

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 2013