[Show abstract][Hide abstract] ABSTRACT: In recent years, energy efficiency and data gathering is a major concern in many applications of Wireless Sensor Networks (WSNs). One of the important issues in WSNs is how to save the energy consumption for prolonging the network lifetime. For this purpose, many novel innovative techniques are required to improve the energy efficiency and lifetime of the network. In this paper, we propose a novel Energy Efficient Clustering and Data Aggregation (EECDA) protocol for the heterogeneous WSNs which combines the ideas of energy efficient cluster based routing and data aggregation to achieve a better performance in terms of lifetime and stability. EECDA protocol includes a novel cluster head election technique and a path would be selected with max-imum sum of energy residues for data transmission instead of the path with minimum energy consumption. Simulation results show that EECDA balances the energy consumption and prolongs the network lifetime by a factor of 51%, 35% and 10% when compared with Low-Energy Adaptive Clustering Hierarchy (LEACH), Energy Efficient Hierarchical Clustering Algorithm (EEHCA) and Effective Data Gathering Algorithm (EDGA), respectively.
[Show abstract][Hide abstract] ABSTRACT: Effective energy management in heterogeneous wireless sensor networks (WSNs) is a more challenging issue compared to homogeneous WSNs. Much of the existing research has often assumed homogeneous sensor nodes in the networks. The energy preservation schemes for the homogeneous WSNs do not perform efficiently when applied to heterogeneous WSNs. In this paper, we have presented an energy-efficient multi-hop communication routing (MCR) protocol in order to address the traditional problem of load balancing, lifetime, stability and energy efficiency in the WSNs. MCR protocol is based on dividing the network into dynamic clusters. The cluster-heads election is based on weighted probability. The cluster's nodes communicate with an elected cluster head node by using single hop communication approach, and then the cluster heads communicate the information to the base station via multi-hop communication approach. Performance studies indicate that MCR effectively solves the problem of load balancing across the network, extends the network lifetime, stability and is more energy efficient in comparison to multi-hop low-energy adaptive clustering hierarchy (M-LEACH) and multilayer energy efficient cluster head communication protocol (MEECHCP).
Int. J. of Information Technology. 01/2011; 1(2):130 - 145.
[Show abstract][Hide abstract] ABSTRACT: Recent research on heterogeneous Wireless Sensor Networks (WSNs) has been studied and employed in many new applications viz., medical monitoring, automotive safety, agriculture precision and many more. In this paper, a novel energy efficient multihop communication protocol (EEMCP) for clustered heterogeneous WSNs has proposed to analyze the network lifetime and stability. EEMCP consider heterogeneous nodes with different initial energy levels and adopt multihop communication approach for data communication from cluster heads to the base station. Simulation results show that EEMCP extends the network lifetime and stability by balancing energy consumption of the network.
Journal of Global Research in Computer Science. 01/2010;
[Show abstract][Hide abstract] ABSTRACT: Wireless sensor networking is envisioned as an economically viable paradigm and a promising technology because of its ability to provide a variety of services, such as intrusion detection, weather monitoring, security, tactical surveillance, and disaster management. The services provided by wireless sensor networks (WSNs) are based on collaboration among small energy-constrained sensor nodes. The large deployment of WSNs and the need for energy efficient strategy necessitate efficient organization of the network topology for the purpose of balancing the load and prolonging the network lifetime. Clustering has been proven to provide the required scalability and prolong the network lifetime. Due to the bottle neck phenomena in WSNs, a sensor network loses its connectivity with the base station and the remaining energy resources of the functioning nodes are wasted. In this paper, a new hierarchical clustering scheme is proposed to prolong the network lifetime in heterogeneous wireless sensor networks. Finally, the simulation results shows that our proposed scheme is more effective in prolonging the network lifetime compared with LEACH.
[Show abstract][Hide abstract] ABSTRACT: In recent years, there has been a growing interest in wireless sensor networks. One of the major issues in wireless sensor network is developing an energy-efficient clustering protocol. Hierarchical clustering algorithms are very important in increasing the network’s life time. Each clustering algorithm is composed of two phases, the setup phase and steady state phase. The hot point in these algorithms is the cluster head selection. In this paper, we study the impact of heterogeneity of nodes in terms of their energy in wireless sensor networks that are hierarchically clustered. We assume that a percentage of the population of sensor nodes is equipped with the additional energy resources. We also assume that the sensor nodes are randomly distributed and are not mobile, the coordinates of the sink and the dimensions of the sensor field are known. Homogeneous clustering protocols assume that all the sensor nodes are equipped with the same amount of energy and as a result, they cannot take the advantage of the presence of node heterogeneity. Adapting this approach, we introduce an energy efficient heterogeneous clustered scheme for wireless sensor networks based on weighted election probabilities of each node to become a cluster head according to the residual energy in each node. Finally, the simulation results demonstrate that our proposed heterogeneous clustering approach is more effective in prolonging the network lifetime compared with LEACH.
[Show abstract][Hide abstract] ABSTRACT: A wireless sensor network with a large number of tiny sensor nodes can be used as an effective tool for gathering data in various situations. One of the major issues in wireless sensor network is developing an energy-efficient routing protocol which has a significant impact on the overall lifetime and stability of the sensor network. Clustering sensor nodes is an effective technique in wireless sensor networks which can increase network energy efficiency, scalability and lifetime. In this paper, we have considered three types of sensor nodes. Some fraction of the sensor nodes are equipped with the additional energy resources than the other nodes. We have assumed that all the sensor nodes are uniformly distributed. Adapting this approach, we have developed an energy efficient cluster head election (EECHE) protocol for heterogeneous wireless sensor networks to extend the network lifetime and stability, which is crucial for many applications. Simulations results demonstrated that EECHE is able to prolong the time interval of the death of first node in the sensor filed that enhances the system lifetime and stability over the existing protocols.
[Show abstract][Hide abstract] ABSTRACT: A wireless sensor network is an autonomous system of sensor connected by wireless devices without anyfixed infrastructure support. One of the major issues in wireless sensor network is developing a costeffective routing protocol which has a significant impact on the overall network performance in thesensor network. In this paper, we have considered three types of nodes with different battery energy. Thekey role of the proposed protocol is to maximize the network performance without increasing the networkdeployment cost. We have compared the quantitative analysis of different protocols in terms of theirnetwork deployment cost. Our analysis and simulation results demonstrate that the proposed scheme canachieve higher network performance and lower network deployment cost as compared to the existingprotocols.
International Journal of Computer Science & Information Technology. 01/2009;
[Show abstract][Hide abstract] ABSTRACT: Dense deployment and unattended nature of wireless sensor network (WSNs) make it quite difficult to recharge node battery resulting in the need for an energy efficient solution at each layer of the protocol stack. At network layer, clustering is known as an effective technique for efficient organization of network topology for the purpose of load balancing and prolonging the network lifetime by assuming the full aggregation at the cluster head for a fixed location of observer from the scenario. In this paper, we analyze the performance of cluster based routing protocol under varying distance of observer from the scenario and compute an upper limit on network lifetime under clustered WSNs. Furthermore instead of assuming the full correlation among the sensed data we analyze the performance under varying degree of correlation and our simulation results show that even under low correlation among sensed data i.e. if formed cluster does not lie within isocluster of observed phenomenon, good performance can be expected from the clustered WSNs when observer is situated sufficiently far distance away from the scenario. Furthermore we find that the maximum lifetime under clustered WSNs is controlled by optimal value of the aggregation factor and observer location.
Wireless and Optical Communications Networks, 2007. WOCN '07. IFIP International Conference on; 08/2007
[Show abstract][Hide abstract] ABSTRACT: A wireless sensor network with a large number of tiny sensor nodes can be used as an effective tool for gathering data for various applications under different situations. One of the major issues in wireless sensor network is developing an energy–efficient routing protocol which has a significant impact on the overall lifetime of the sensor network. Clustering sensor nodes is an effective technique in wireless sensor networks which can increase network energy efficiency, scalability and lifetime. In this paper, we have proposed an energy–efficient clustering based protocol for wireless sensor networks. We have considered a set of cluster heads for control and management of the network. On rotation basis, a cluster head receives data from the neighboring nodes and transmits the aggregated data to the base station. Adopting this approach, Energy Efficient Clustering Hierarchy and Data Accumulation (EECHDA) is better than existing protocols in terms of energy consumption and network lifetime. Our simulation results demonstrated that EECHDA is able to prolong the time interval of the death of first node in the network.