Project

Energy Optimization of WSN

Updates
0 new
0
Recommendations
0 new
0
Followers
0 new
2
Reads
0 new
7

Project log

Waseem Raza
added 2 research items
In this paper, we propose Threshold sensitive Energy Efficient Cluster Heads based on Maximum Energy (TEECH-ME) routing protocol for Wireless Sensor Networks (WSNs). The main objective of this technique is to improve lifetime and stability period of network by applying threshold limitations on nodes deployed in static clusters. In our propose scheme, nodes with maximum energy become CHs of their regions. In TEECH-ME, we use threshold sensitivity parameters in network operation that limit the transmissions of whole network. We also apply Uniform Random Model to find out the drooped packets to make our protocol more practical. Simulation results show that our technique is 40% better than REECH-ME in terms of network lifetime.
Randomly deployed nodes in wireless sensor net-work (WSN) have limited energy so their energy should be efficiently utilized. Early death of nodes is the major problem in WSN as it causes uneven load distribution. Compared with dynamic clustering schemes, multi hop communication in static clustering improves the stability region. It also provides better coverage and reduces energy hole problem. But, as the life of network proceeds, premature death of data forwarding nodes reduces stability region and prolongs unstable region. To address this we proposed THEEM, a hybrid approach which brings threshold sensitivity with static clustering multi hop routing protocol. Additionally data forwarding nodes are provided with extra energy but it is compensated from other nodes. We included random uniform packet drop model to include the effect of the wireless medium. Results show that our strategy improves stable region and network lifetime and minimizes energy hole problem. I. INTRODUCTION Wireless Sensor Network (WSN) is a category of wireless networks in which nodes are spatially distributed in a geo-graphical area. These nodes sense the environmental attributes and send the sensed data to Base Station (BS). Nodes consist of sensing unit, processor, transceiver and small battery. It is impractical to replace or recharge batteries of all deployed nodes [1]. Nodes may transmit data in coordinating fashion either using intermediate nodes or hierarchical fashion to BS. In hierarchical scheme Cluster Heads (CHs) are elected as intermediate nodes. CHs are the nodes performing extra duties of data collection and forwarding. WSNs are categorized on the bases of different parameters. In terms of energy, WSNs can be divided into homogeneous or heterogeneous networks. In former networks all nodes have same initial energy while in later nodes can have different energy. In terms of sensing and transmitting the data these networks are classified into two following two types: