AEEC-Adaptive and Energy Efficient Clustering Algorithm for Content Based Wireless Sensor Networks

Abstract

Wireless sensor network (WSN) has increasingly been used for many applications such as building distributed systems, military applications, remote environmental monitoring and target tracking among others. This has been enabled by the availability, particularly in recent years, of sensors that are smaller, cheaper and intelligent. However, sensor nodes operate on limited battery power, energy usage is a very important concern in a WSN. There has been significant research focus that revolves around harvesting and minimizing energy. In this paper, we propose a modified algorithm of Low Energy Adaptive Clustering Hierarchy (LEACH) protocol for Content based WSNs. Our modified protocol called AEEC (Adaptive and Energy Efficient Clustering) algorithm is aimed at prolonging the lifetime of a sensor network by balancing energy usage of the nodes in content based WSNs. AEEC makes the nodes with more residual energy have more chances to be selected as cluster head. Hence, we avoided single node failure due to maximize connectivity of network. We compared the performance of our AEEC algorithm with the LEACH protocol using simulations. Keywords-component; wireless sensor network, clustering algorithm, content based networking model.I.

Energy-based clustering for wireless sensor network lifetime optimization

“…To evaluate the performances of the different versions of BLAC, we perform some simulations under the WSNET simulator 2 . We compare the four variants of BLAC to three close approaches of the literature: DDR [11] and density-based clustering [10] because of their algorithmic proximity to BLAC and LEACH [7] because of its energy efficiency concern.…”

“…Some focus on pre-deployment analysis [13], [8] and thus are not scalable. Very few of them are energyefficient [15], [2] and even if it is the case, they require additional information [9] which is not necessarily available at nodes (like GPS position), require expensive data exchange or need a declared sink [5].…”

Balancing Energy Consumption in Clustered Wireless Sensor Networks

“…When solutions have energy concerns [2,3,9,[11][12][13][14][15][16], they require not straightforward nodes features (like GPS). They can also require a lot of control messages or, in the case of [12], a declared sink.…”

Studies of networking algorithms in wireless sensor networks

“…Existing approaches on lifetime maximization problem can be largely classified into two categories: centralized methods [23][24][25][26][27][28][29][30][31][32][33][34][35][36] and distributed methods [13][14][15][37][38][39]. Centralized methods typically require knowledge of the sensors' locations to achieve global optimization with respect to certain performance metrics.…”

“…• Dynamic clustering algorithms adopting the same network model and design objective as ours. They included: LEACH [13], TL-LEACH [90], EECS [15], PEGASIS [91], HEED [14], GROUP [92], MOECS [36], AEEC [39], and pLEACH [35]. Amongst these algorithms, LEACH was first proposed and widely served as a benchmark for comparison with other algorithms.…”