REECH-ME: Regional Energy Efficient Cluster Heads Based on Maximum Energy Routing Protocol for WSNs

Abstract

In this paper, we propose Regional Energy Efficient Cluster Heads based on Maximum Energy (REECH-ME) Routing Protocol for Wireless Sensor Networks (WSNs) . The main purpose of this protocol is to improve the network lifetime and particularly the stability period of the network. In REECH-ME, the node with the maximum energy in a region becomes Cluster Head (CH) of that region for that particular round and the number of the cluster heads in each round remains the same. Our technique outperforms LEACH which uses probabilistic approach for the selection of CHs. We also implement the Uniform Random Distribution Model to find the packet drop to make this protocol more practical. We also calculate the confidence interval of all our results which helps us to visualize the possible deviation of our graphs from the mean value. Index Terms-Wireless Sensor Networks (WSNs) , Routing protocol, Cluster heads on the basis of maximum energy, Packet Drop, Confidence Interval

Towards Latency-Aware Data Acquisition in Wireless Sensor Network

“…Each mobile sink's time for data acquisition can not exceed a maximum value T . Equation (2) reflects that each intermediate sensor node is just visited once for all mobile sinks. Equation (3) reflects the balance principle for the intermediate sensor nodes.…”

“…The distance between nodes ranges from 1 to 10. The number of mobile sink is set in [1][2][3][4][5][6] and its moving speed is 1. For mobile sinks, we define the unit cost of each sink is 10.…”

“…In order to solve this limitation, a lot of research efforts [2], [3], [4] focus on mobility management in WSN. By the way of using sink mobility for data transmission, the sink is capable to gather sensed data by traveling around the network with even power consumption.…”

Energy Savings in Applications for Wireless Sensor Networks Time Critical Requirements

“…In recent years, there are a lot of routing protocols in WSN are used that a few of them have considered the requirements of network applications in time critical data transmission is important [8][9][10][11][12][13][14][15]. In wireless sensor network gathers data from the relevant data would reduce the large amounts of data traffic on the network, avoid information overload, creating a more accurate signal and requires less energy than sending all unprocessed data inside the network.…”

Energy and Density Aware Clustering (EDAC) to Improve Lifetime and Connectivity in Multi Level Heterogeneous Wireless Sensor Network

“…Static clustering along with dynamic cluster head selection [20], [21] during every round in EDAC also saves computation overhead involved in cluster formation again and again. Thus it can be concluded that by implementing static clusters and multi-hop communication between sensor nodes and cluster head using relay nodes would definitely result in load balancing and better connectivity in the entire heterogeneous wireless sensor network.…”